A

TECHNICAL SEMINAR

ON

PALM VEIN TECHNOLOGY

Submitted in partial fulfillment of the requirement for the award of the degree of

BACHELOR OF TECHNOLOGY

IN

COMPUTER SCIENCE AND ENGINEERING

By

P.CHANDRASHEKAR

(16R91A05H7)

Under the Guidance Of

Mr. KUNDHAN

(Asst .Professor)

Department of CSE

Department of Computer Science and Engineering

TEEGALA KRISHNA REDDY ENGINEERING COLLEGE

(Affiliated to JNTUH, Hyderabad, Approved by AICTE, Accredited by NBA) Medbowli,

Meerpet, Saroornagar, Hyderabad – 500097

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DECLARATION BY THE CANDIDATE

I P.CHANDRASHEKAR bearing Roll No 16R91A05H7, hereby declare that the technical

seminar entitled “PALM VEIN TECHNOLOGY” is done under the guidance of Mr.Kundhan,
Asst, Professor ,Department of Computer science and Engineering ,Teegala Krishna Reddy
College, is submitted in partial fulfillment of the requirements for the award of the Degree of
Bachelor of Technology in Computer Science and Engineering.

This is a record of bonafide work carried out by me in Teegala Krishna Reddy Engineering
College and the result embodied in this Seminar have not been reproduced or copied from any
source. The results embodied in this seminar report have not been submitted to any other
University or Institute for the award of any other degree or diploma.

P.CHANDRASHEKAR (16R91A05H7)

Department of CSE,

Teegala Krishna Reddy Engineering College

Hyderabad.

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 CERTIFICATE

This is to certify that the Technical Seminar entitled “PALM VEIN TECHNOLOGY ”
Submitted by Mr. P.CHANDRASHEKAR bearing Roll No. 16R9A05H7 in partial
fulfillment for the award of the Degree of Bachelor of Technology in Computer Science
and Engineering. Is recorded of bonafide work carried out by him under my guidance.

The result of investigation enclosed in this report have been verified and found satisfactory.
The result embodied in this has not been submitted to any other University or Institute for
the award of any other Degree or Diploma

Internal Guide Head of Department

Mr.Kundhan Dr.CH.Phanikrishna.

(Asst.Professor) (Dept. of CSE)

-------------------------- -------------------------------

External Guide Principal

DR.M.K.V.Madhan kumar

------------------ --------------------

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 ACKNOWLEDGEMENT

The satisfaction and euphoria that accompanies the successful completion of any task would be
incomplete without the mention of the people who made it possible and whose encouragement and
guidance have crowned our efforts with success.

I extend my deep sense of gratitude to Dr.K.M.V.Madhan Kumar, Principal Teegala Krishna Reddy
Engineering College, Meerpet, for Permitting me to undertake this technical Seminar.

I am also indebted to Dr.Ch.V.Phani Krishna , Head of the Department , computer Science

Engineering, Teegala Krishna Reddy College, Meerpet for him support and guidance throughout
my technical seminar.

I am indebited to my guide Mr.Kundhan ,Asst Professor Computer science Engineering , Teegala

Krishna Reddy Engineering College, Meerpet for his support and guidance throughout my
technical Seminar.

Finally, I express thanks to one and all that have helped me in successfully completing this
technical seminar. I would like to thank my family and friends for their moral support and
encouragement

Submitted By

P.CHANDRASHEKAR

(16R91A05H7)

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 INTRODUCTION

Palm vein authentication device uses blood vessel patterns as a personal identifying factor. The

vein information is hard to duplicate since veins are internal to the human body. The palm vein

authentication offers a high level of accuracy. Palm vein authentication uses the vascular patterns

of an individual’s palm as personal identification data. Compared with a finger or the back of a

hand , a palm has a broader and more complicated vascular pattern and thus contains a wealth of

differentiating features for personal identification

The importance of biometrics in the current field of security has been depicted in this work. We

have also outlined opinions about the utility of biometric authentication systems , comparison

between different techniques and their advantages and disadvantages in this paper. Several banks

in Japan have used the palm vein authentication technology for customer identification since July

2004. In addition, Fujitsu has integrated the technology into the access control of electronic door

lock systems. Fujitsu plans to further expand applications for this technology by downsizing the

sensor and improving the verification speed

1.1 WHAT IS BIOMETRICS?

Automated measurement of Physiological and/or behavioral characteristics to determine or

authenticate identity is known as Biometrics.

Three components of above definition will determine what is and what is not a biometric and
also its different types and functionalities. Let’s start with the First component of the definition:
“Automated measurement”, which means no human intervention or involvement is required.
Biometrics are automated in as much as the processes involved in sample acquisition, feature

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extraction, record retrieval, and algorithm-based matching are computerized or machine-
based. Also the record retrieval and comparison against another measurement must take place
in Real-Time. So for an instance, DNA sampling is NOT a biometric measurement because today
it still requires human intervention and it’s NOT done
in real time. The second component of the definition: “Physiological and/or behavioral
characteristics”, determine the two main biometric categories: behavioral and physiological.
The behavioral characteristics measure the movement o f a user, when users walk, speak, type
on a keyboard or sign their name. The physiological characteristics would be the physical
human traits like fingerprints, hand shape, eyes and face, veins, etc., and the last component
of the definition is “determine or authenticate identity”, which categorizes the two types
of biometric functionalities. The first type is identification systems or the systems that
answer the question who am I? and determine the identity of a person. The second type
is verification systems or systems that answer the question, am I who I claim to be? and
authenticate a person. An example of an Identification System using biometrics would be:
You approach an ATM with NO card, NO claimed identity, NO PIN.
The ATM scans your iris and determines who you are and gives you access to your money.
An example of a Verification System using biometrics would be: You approach an ATM
and swipe a card or enter an account number. The ATM scans your iris and uses it as a
password to authenticate you are the rightful owner of the card and therefore give you
access to your money.

1.2 USAGE OF BIOMETRIC TECHNOLOGY MINIMIZES RISKS

 The person, who has my house key, can…

 The person, who knows my password, can…
 The person, who knows the pin number of my credit card, can…
 The person, who is able to forge my signature, can…
 The person, who steals my passport, can…
 The person, who has my office id card, can…

1.3 BIOMETRICS - SECURITY & CONVENIENCE

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 Fig-1.1 Threats in various security systems

Biometrics is more convenient and secure than other security methods

like key, ID card, PIN code etc., because someone can lose the key or ID card and
may forget the PIN code but in case of Biometrics where your body part or the
some of your behavior is your identity which you cannot lose or forget. Even the
palm vein patterns of identical twins don’t match. Also no human is involved and
the system is fully automated so chances of biasing or misuse of the identity is
minimized. Also biometric features of an individual cannot be copied easily with
perfection.

1.4 BIOMETRIC FEATURES

 Complex biometric pattern

 Extreme high level of accuracy and security
 Ideally prevented inside the body
 Unchanged for life
 Unique to individuals

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  No influence of Skin color
 Skin contamination
 Shallow injury
 Non-invasive near infrared radiation

1.5 VARIOUS TYPES OF BIOMETRICS

Biometrics authentication is a growing and controversial field in which civil liberties groups
express concern over privacy and identity issues. Today, biometric laws and regulations are in
process and biometric industry standards are being tested. Automatic recognition based on “who
you are” as opposed to “what you know” (PIN) or “what you have” (ID card). Recognition of a
person by his body & then linking that body to an externally established identity forms a very
powerful tool for identity management Biometric Recognition. Figure 1 shows the different type
of biometric authentication. Canadian airports started using iris scan in 2005 to screen pilots and
airport workers.
Pilots were initially worried about the possibility that repeated scans would negatively affect
their vision but the technology has improved to the point where that is no longer an issue.

Canada Customs uses an iris scan system called CANPASS-Air for low-risk travelers at Pearson
airport. Junichi Hashimoto, 2006, has introduced finger vein authentication, a new biometric
method utilizing the vein patterns inside one’s fingers for personal identification. Vein patterns
are different for each finger and for each person, and as they are hidden underneath the skin’s
surface, forgery is extremely difficult. These unique aspects of finger vein pattern recognition set
it apart from previous forms of biometrics and have led to its adoption by the major Japanese
financial institutions as their newest security technology.

Irish scan finger scan face scan

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 Palm vein scan sensor scan

DIFFERENT TYPES OF BIO METRICS ARE:

 Voice Print Technology

 Finger/palm Print Technology
 Face Recognition Technology
 Iris Scan Technology
 Retina Scan Technology
 Ear shape recognition Technology
 Dynamic Signature Recognition (DSR)
 Typing Pattern Technology
 Gait Recognition Technology
 Palm Vein Technology

PALM VEIN TECHNOLOGY REVIEWS

2.1 THE BASIS OF PALM VEIN TECHNOLOGY

Every individual have unique pattern of Palm veins, so the palm vein pattern is used to
authenticate some individual’s identity .The process of authentication and registration is
discussed in next topics. An individual first rests his wrist, and on some devices, the
middle of his fingers, on the sensor's supports such that the palm is held centimeters
above the device's scanner, which flashes a near-infrared ray on the palm . Unlike the
skin, through which near-infrared light passes, deoxygenated hemoglobin in the blood
flowing through the veins absorbs near-infrared rays, illuminating the hemoglobin, causing
it to be visible to the scanner. Arteries and capillaries, whose blood contains oxygenated
hemoglobin, which does not absorb near-infrared light, are invisible to the sensor. The still image
captured by the camera, which photographs in the near-infrared range, appears as a
black network, reflecting the palm's vein pattern against the lighter background of the palm.
An individual's palm vein image is converted by algorithms into data points, which is then

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compressed, encrypted, and stored by the software and registered along with the other
details in his profile as a reference for future comparison. Then, each time a person logs
in attempting to gain access by a palm scan to a particular bank account or secured
entryway, etc., the newly captured image is likewise processed and compared to the
registered one or to the bank of stored files for verification, all in a period of seconds.

2.2 REGISTERING THROUGH P.V.T.

STEP 1: Palm vein authentication technology consists of a small Palm vein scanner that's easy
and natural to use, fast and highly accurate. Simply hold your palm a few centimeters over the
scanner.

Fig-2.2 A view from scanning device

STEP 2: Scanner makes use of a special characteristic of the reducedhemoglobin coursing

through the palm veins; it absorbs near-infrared light. This makes it possible to take a snapshot of
what’s beneath the outer skin, something very hard to read or steal.

Fig-2.3 View of palm pattern at various stages of registering palm vein pattern

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STEP 3: The integrated optical system in the palm vein sensor uses this phenomenon to
generate an image of the palm vein pattern and the generated image is digitized, encrypted and
finally stored as a registered template in the database.

2.3 WORKING OF PALM VEIN TECHNOLOGY

Once the palm vein pattern is registered in the system, user can authenticate him/herself in the
system. The working of Palm Vein Technology is described in following steps.
P.V.T REVIEWS

STEP 1: Hold your palm over the palm vein image sensor and camera which will take the
snapshot of palm.

Fig-2.4 Palm vein image sensor and palm image captured.

STEP 2: Now palm image is processed and digitalized with the help of algorithm implemented
in the system.

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 Fig-2.5 Magnified view of palm vein pattern.

STEP 3: This digitalized image is matched with the previously stored database and authenticates
user identity.

2.4 FEATURES OF PALM VEIN TECHNOLOGY

1.The human palm vein pattern is extremely complex and it shows a huge number of vessels.
2. The biometric information is located inside the human body, and therefore it is protected
against forgery and manipulation.
3. The position of the palm vein vessels remain the same for the whole life and its pattern is
absolutely unique.
4. The enrolment of the palm vein pattern can be done without any physical contact
to the sensor.
5. Skin color, skin dirtying, surface wounds, skin humidity, skin temperature, aging
do not have major influence to enroll and to authenticate the palm vein pattern correctly.
6. Palm Secure is based on a near infrared method, and it has no negative influence
to the health.
7. Since it is contact less and uses infrared beam, it is more hygienic.

PALM VEIN PATTERN EXTRACTION

Palm Vein Technology uses different algorithms and programs for different stages of the
technology. Also different algorithms are proposed for same processes like ICP(Iterative Closest
Point), P2PM (Point to Point Matching), SMM (Similarity based Mixed Matching) etc. Usually,
in the image-based biometric systems, a number of pre-processing tasks are required prior to
enhance the image quality, such as: contrast, brightness, edge information, noise removal,
sharpen image, etc, furthermore, to produce a better quality of image that will be used on the
later stage as an input image and assuring that relevant information can be detected. Actually,
the better quality of image will gain the better accuracy rate to the biometric system itself.
In this paper we propose three required pre-processing tasks which are as follow:
1. Vascular pattern marker algorithm
2. Vascular pattern extraction algorithm
3. Vascular pattern thinning algorithm

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After vascular pattern thinning, extracted image is matched with the previously stored
database, for which various algorithm are used which are to be discussed in next chapter.
Here we will discuss the palm vein pattern extraction.

3.1 VASCULAR PATTERN MARKER ALGORITHM

1. Open Near-Infrared Palm Image File in input mode.

2. Convert the Loaded Image into Planar Image.

3. Set the Horizontal and Vertical kernels (3 x 3), respectively as follow:

1 0 -1 131

3 0 -3 000

1 0 -1 3x3 -1 -3 -1 3 x 3

4. Generated Planar Image in Step2, is passed through kernels created in

Step3.

5. Modified fine-grained Planar Image is stored into another

Grey scale Image File.
6. Close all Image file(s).
Here we are considering monochrome binary Image, two-pass masking is used, namely,
Horizontal and Vertical kernels. The Planar Image now passed through these masks or
kernels. Resultant transformed Image generates the distinct marks of Vascular Pattern; the
process is Smoothing the Image

3.2 VASCULAR PATTERN EXTRACTION ALGORITHM

a. Open resultant Grey scale Image File from Vascular Pattern Marker Algorithm,
in input mode
b. Open Binary Image File in output mode
c. While not End of File
d. Loop
e. Read pixel intensity value
f. If pixel intensity value lies in between 20 and 130, then

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g. Convert the intensity value to 0 (black)
h. Else
i. Convert the intensity value to 255 (white)
j. End if
k. Write the intensity value to Binary Image
l. End Loop
m. Close all Image Files

Thresholding is an image processing technique for converting a greyscale or color image

to a binary image based upon a threshold value. If a pixel in the image has an intensity
value less than the threshold value, the corresponding pixel in the resultant image is set to
black. Otherwise, if the pixel intensity value is greater than or equal to the threshold
intensity, the resulting pixel is set to white. Thus, creating a binarized image, or an image
with only two colors, black (0) and white (255). Image thresholding is very useful for
keeping the significant part of an image and getting rid of the unimportant part or noise. This
holds true under the assumption that a reasonable threshold value is chosen. In our
case the threshold range is taken 20 to 130. Threshold rangeP.V.T.
mayTECHNICAL
vary but aDETAILS
large range
results into higher EER

3.3 VASCULAR PATTERN THINNING ALGORITHM

a. Open the Resultant Binary Image File generated from Vascular Pattern
Extraction Algorithm, in input mode
b. Read each pixel intensity value and stored into corresponding location of a
2dimensional Matrix
c. Matrix processing as following steps:

int rows = Image Width, columns = Image Height;

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for(int i = 0; i < rows; ++i)
{
for(int j = 0; j < columns; ++j)
{
if((i==0) || (j==0) || (i==(rows-1)) || (j==(columns-1)))
matrix[i][j] = -1;
}
}
for(int r = 1; r < rows-1; r++)
{
for(int c = 1; c < columns-1; c++)
{
if((matrix[r][c] != -1))
{
if (((matrix[r][c+1] != -1) || (matrix[r][c-1] != -1))
&&((matrix[r+1][c] != -1) || (matrix[r-1][c] != -1)))
{
matrix[r][c] = -1 ;
}
}
}
}
for(int r = 1; r < rows-1; r++)
{
for(int c = 1; c < columns-1; c++)
{
if((matrix[r][c] != -1))
{
if(((matrix[r][c-1] == -1)) && ((matrix[r][c+1] == -1)))
{
if(((matrix[r-1][c] == -1)) && ((matrix[r+1][c] == -1)))
{
matrix[r][c] = -1;
}
}
}
}
d. Write the 2 Dimensional Matrixes into a Binary Image File. e. Close all Image Files
Generated Binary Image is stored in the Image Database. For each individual one or
multiple images are required to be stored. More Images for an individual are desired for
perfect Identification of the corresponding individual in future. Thinning is done for
capturing the Vascular Pattern of hand Palm of an individual.

3.4 PALM VEIN EXTRACTION (Mathematical approach)

In the above sections, we have discussed about the programming algorithm part of palm
vein extraction process. Here we will discuss the mathematical approach for the palm

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vein extraction. For palm vein extraction generally Multiscale Gaussian Matched filter is
used. Details of this method including mathematical equations are as follows:

Fig 3.1(a) shows an infrared image of a palm, which contains palm vein information. ROI
(with a fixed size of 128*128 pixels) is extracted according to the two key points between
COMPARISION WITH
fingers, as shown in Fig 3.1(b). There may be different ways to select ROI for different
devices.

Fig-3.1 (a) an infrared palm image; (b) ROI extraction.

After ROI is extracted, a Multiscale Gaussian Matched filter was used to extract the
structure information of palm vein. Since the cross-sections of palm veins are Gaussianshaped
lines, it is natural to choose a Gaussian Matched filter to extract palm vein [7].
The Gaussian Matched filter was defined as (3.1), where
g(x,y) = Gaussian filter function
ϕ = filter direction,
σ = standard deviation of Gaussian,
m = mean value of the filter,
L = length of the filter in y direction.
S = scale to reduce the window size.

Palm vein
extraction.(a) ROI; (b)&(c) response of match filter at different
scales
To reduce noise in the matched filter responses, a multiscale scheme is adopted. In this
scheme, the scale s is used to regulate size of the filter window: |x '| ≤ 3sσx, |y'| ≤ sL/2.
By using two different scales, we can get two different filter responses. And it has been
proved that the production of two filter responses at different scales can greatly reduce the
noise.

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Fig 3.2 (d) scale production of (b),(c); (e) binarized image of (d); (f) thinned image of (e)

After a low-noise palm vein image is obtained, some post processing operations such as
binarizing and thinning are applied. Fig-3.2 shows an example of the Multiscale Gaussian
Matched filter responses and palm vein extraction of an infrared palm image.

COMPARISON WITH OTHER BIOMETRIC TECHNOLOGIES

4.1 VOICE PRINT

Voice verification is a biometric authentication technology well suited for applications

and systems in which other biometric technologies would be difficult or inconvenient to
implement. This form of biometric is most often deployed in environments where the
voice is already captured, such as telephony and call centers. Making use of distinctive
qualities of a person's voice, some of which are behaviourally determined and others of
which are physiologically determined; voice verification is typically deployed in such
areas as home improvement and security, banking account access, home PC, network
access, and many others. Some of the key advantages and disadvantages for voice
recognition technology are listed below:
ADVANTAGES
 Easy to use and requires no special training or equipment.
 Relatively inexpensive compared to other biometrics.
 Consumers prefer to use voiceprints over other biometric technology for
 identification according to a Chase bank’s research study.

DISADVANTAGES
When processing a person’s voice over multiple channels such a microphone and then over a
telephone reduces the recognition rate.
Physical conditions of the voice, such as those due to sickness, affect the voice verification
process.
Environment noise reduces the overall accuracy and effectiveness of the recognition.
A person’s voice changes over time.
FRR is high because of that sometimes users are required to input the data or

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 speak 2-3 times, hence speed is much slower.

4.2 FINGER/PALM PRINT

A fingerprint usually appears as a series of dark lines that represent the high, peaking
portion of the friction ridge skin, while the valleys between these appears as white space
and are the low, shallow portion of the friction ridge skin. Fingerprint identification is
based primarily on the minutiae, or the location and direction of the ridge endings and
bifurcations along a ridge path. The images below presents examples of the other detailed
characteristics sometimes used during the automatic classification and minutiae extraction
processes.

Fig-5.2 Finger prints.

ADVANTAGES
Since fingerprints are the composition of protruding sweat glands, Everyone has
unique fingerprints. They do not change naturally.
Its reliability and stability is higher compared to the iris, voice, and face
recognition method.
Fingerprint recognition equipment is relatively low-priced compared to other
biometric system and R&D investments are very robust in this field.
DISADVANTAGES
Vulnerable to noise and distortion brought on by dirt and twists.
Some people may feel offended about placing their fingers on the same place where many
other people have continuously touched.
Some people have damaged or eliminated fingerprints.
Since users have to touch the sensing device, so it gets damaged on scratches on it
and that’s why the FFR increases with increased used of COMPARISION
device. WITH OTHER BIOMETRICS

4.3 FACE RECOGNITION

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Every face has numerous, distinguishable landmarks, the different peaks and valleys that
make up facial features. It defines these landmarks as nodal points. Each human face has
approximately 80 nodal points. Some of these measured by the software are:
Distance between the eyes
Width of the nose
Depth of the eye sockets
The shape of the cheekbones
The length of the jaw line

 Fig-5.3 Nodal points and Face

print.
ADVANTAGES
Non intrusive, privacy cannot be invaded easily.
Cheap technology.
It requires small data base.

DISADVANTAGES
2D recognition is affected by changes in lighting, the person’s hair, the age, and if
the person wear glasses.
It also depends on orientation/angle of user’s face with camera.
Requires camera equipment for user identification; thus, it is not likely to become
popular until most PCs include good resolution cameras as standard equipment.

4.4 IRIS SCAN

Iris recognition is the process of recognizing a person by analyzing the random pattern of
the iris. The iris muscle within the eye regulates the size of the pupil, controlling the
amount of light that enters the eye [8]. It is the colored portion of the eye with coloring
based on the amount of melatonin pigment within the muscle. Although the coloration
and structure of the iris is genetically linked, the details of the patterns are not. The iris

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develops during prenatal growth through a process of tight forming and folding of the
tissue membrane. Prior to birth, degeneration occurs, resulting in the pupil opening and
random, unique patterns of the iris.



Fig-4.4 Iris and Iris pattern of human eye.

ADVANTAGES
Very high accuracy.
Verification time is generally less than 5 seconds.
The eye from a dead person would deteriorate too fast to be useful, so no extra
precautions have to been taken with retinal scans to be sure the user is a living
human being.
DISADVANTAGES
Intrusive.
A lot of memory for the data to be stored.
Very expensive.
Difficult to use because of positioning eye.
Requires more time for matching with database stored.
4.5 RETINA SCAN
The human retina is a thin tissue composed of neural cells that is located in the posterior
of the complex structure of the capillaries that supply the retina with blood; each person's
retina is unit ion of the eye. The network of blood vessels in the retina is so complex that
even identical twins do not share a similar pattern [8]. A biometric identifier known as a
retinal scan is used to map the unique patterns of a person's retina. The blood vessels

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within the retina absorb light more readily than the surrounding tissue and are easily
COMPARISION WITH OTHER BIOMETRICS
identified with appropriate lighting. A retinal scan is performed by casting an unperceived
beam of low-energy infrared light into a person’s eye as they look through the scanner's
eyepiece. This beam of light traces a standardized path on the retina. Because retinal
blood vessels are more absorbent of this light than the rest of the eye, the amount of
reflection varies during the scan. The pattern of variations is converted to computer code
and stored in a database.

Fig-4.5 Retina and its pattern.

ADVANTAGES
Very high accuracy.
Low occurrence of false positives
Extremely low (almost 0%) false negative rates
Highly reliable because no two people have the same retinal pattern
There is no known way to replicate a retina.
The eye from a dead person would deteriorate too fast to be useful, so no extra
precautions have to been taken with retinal scans to be sure the user is a living
human being.
DISADVANTAGES
It has the stigma of consumer's thinking it is potentially harmful to the eye.
Comparisons of template records can take upwards of 10 seconds, depending on
the size of the database.

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 APPLICATIONS AND BUSINESS

5.1 ATM AND BANKING

In July 2004, to ensure customer security, Suruga bank launched its “Bio Security
Deposit” the world’s first financial service to use Palm Secure . This service features
high security for customers using vein authentication , does not require a bank card
or pass book and prevents withdrawals from branches other than the registered
branch and ATMs thereby minimizing the risk of fraudulent withdrawals. To open a
Bio-Security Deposit account, customers go to a bank and have their palm veins
photographed at the counter in order to guarantee secure data management, the palm vein
data is stored only on the vein data base server at the branch office where the account is
opened.

In Oct 2004, The Bank of Tokyo launched its “Super –IC Card”. This card combines
the functions of a bankcard, credit card, electronic money and palm vein authentication.
This Super –IC Card contains the customers palm Vein data and vein Authentication
algorithms and reforms vein Authentication by itself. This system is advantageous
because the customer’s information is not stored at the bank. When a customer applies for
a Super –IC Card, the bank sends the card to the customer’s home. To activate the palm
vein authentication function, the customer brings the card and his passbook and seal to
the bank counter where the customers vein information is registered on the card . After
registration the customer can make transactions at that branch counter and ATM using
palm vein authentication and a matching PIN number.
PVT is used in 92% of all Japanese ATMs including 18,000+ ATM machines for Bank of
Tokyo – Mitsubishi.

APPLICATIONS AND BUSINESS

5.2 PERSONAL COMPUTERS

In personal computers palm vein technology can be applied by inserting the vein sensor
inside mouse or on the keyboard. When power is supplied to system the mouse/keyboard

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also gets power and the sensor in the mouse/keyboard will be ready to sense palm veins.
When one place his/her palm the sensor sense the veins and if they are matched with the
registered ones the system allows the person to use it. One can use this technology even
to lock folders , that should be maintained as private information. This technology will be
very helpful in protecting data saved in computers and highly reducing the hacking of
password. It can also be used in multiuser computers where more than one people can use
the computer. The users previously having account or login account in particular
computer can access the computer. Also this can be possible over a network like top
secure sites of defence or other corporate sites or accounts where some of the officials can
access the network.

Fig-6.1 USE OF PVT IN ATM

5.3 IN HOSPITALS AND LIBRARYS

Palm Secure device can also be used in hospitals for doctor and patient’s identification
and where the high level of security is required. In libraries also Palm secure device may
be used in place of ID cards. Some public libraries are started using this technology. For
example, a public library in Japan is set to become the first in the world to use palm-vein
APPLICATIONS AND BUSINESS
biometrics as a substitute for conventional library cards. The University of Tokyo hospital
has taken delivery of a contactless palm vein authentication system to secure physical
APPLICATIONS AND BUSINESS
access to its Department of Planning, Information and Management.

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 (a) (b)
Fig-5.2 PVT used in (a) Library (b) Hospitals for authentication.

5.4 GENERAL AUTHENTICATION

In front of our homes we can apply this Palm vein technology so that by
registering the veins of our family members and relatives we can maintain high
range security which is not possible through other technologies . Japanese
recently used this technology before front doors and getting high range security.
Nowadays credit and debit cards lose are very general cases and customers faces
huge lose sometimes. So replacing credit card with palm vein will solve the all
problems.

5.5 USE OF PVT IN OFFICES AND SCHOOLS

Palm vein sensing devices can be used in offices, schools, colleges, universities for
attendance purpose. It also improves the security and prevents any sensitive case.

5.6 OTHER PRODUCT APPLICATIONS

 Management in healthcare
 Access control to medication dispensing
 Identification of doctors and nurses when accessing protected health records
 Patient identification management
 Operator authentication
 Owner authentication
 Retrieval of checked luggage
 Driver authentication
 Attendance authentication
 Checking attendance in schools
 Clocking in and out of the workplace.

5.7 BUSINESS IMPACT

Although, palm vein technology is quite new but it is creating an impact on market and

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replacing the conventional biometric technologies. It can be seen from the fact that 92%
ATMs in JAPAN using this technology including TOKYO NATIONAL BANK. Also
some of public libraries in JAPAN are using palm vein authentication in place of IDcards.
Even PVT is used at front door of home.

5.8 FUTURE ASPECTS

Fujitsu is the first one to invent the technology. Nowadays only Japan and Korea are the
leading manufacturers of Palm Secure devices. They supply the product mainly in Asia
and America. But because the size of the device needed in various applications is
different. For example, some companies want to incorporate this device in mobile phones
and also in laptops and palmtops. So the size of the device needed for these applications
is small. Hence research works are going on to reduce the size of device.
Resolution of image captured depends on ambient light intensity and temperature.
Because these two factors strongly affects the resolution of captured image and hence the
accuracy of the device, so still some improvements are required in the technology and
some progress is going on. In near future these problems are expected to be solved and
more enhanced, accurate and secure device will be manufactured.

MULTIMODAL BIOMETRIC

Error rates are high while using single biometric, so the fusion of two or more biometric
are also used. Mostly palm vein and palm print technologies are used for fusion. This
fused technology is also called multimodal biometric. The error rates decreases to a large
extent. In this technology, separate templates of palm print and palm vein pattern are
taken using sensors and camera and matched with database.
ADVANTAGES AND DISADVANTAGES

6.1 ADVANTAGES
1. Palm vein authentication can be done using the vascular pattern on the back of a hand
or a finger. However, the palm vein pattern is the most complex and covers the
widest area, because the palm has no hair, it is easier to photograph its vascular
pattern. The palm also has no significant variations in skin color compared with
fingers or back of the hand, where the color can darken in certain areas. Also we can

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use fusion of two technologies, palm vein and palm print, which will be more
complex and more reliable but costly.
2. Because ICP method is used in this technology so there will be no false rejections or
false acceptance cases because of orientation problem. So FRR and FAR are very low
in comparison to other biometric technologies. So it is more secure and reliable.
3. The completely contactless feature of this device makes it suitable for use
where high levels of hygiene are required. It also eliminates any hesitation
people might have about coming into contact with something that other people have
already touched.
4. The vascular pattern of our palm doesn’t change with our growth or age, Even palm
vein pattern is generated before birth. So once you registered the palm vein pattern,
you need not to re-register again anytime in whole life except any critical case of
accident. Even in case of accident if palm is not injured critically, palm vein pattern
can be extracted because vein are located deeper inside the hand. Also at the time of
registration you have to register the vein pattern of both the palms, so if one gets
injured other one can be used.
5. Palm vein pattern of any individual cannot be theft. Also since it is contactless,
privacy cannot be invaded.
6. The average-selling price of the standard PalmSecure technology is between $300
and $350. While this is slightly higher than the average cost of fingerprint biometric
technology solutions, customers are willing to pay the additional premium to receive
the wide array of benefits associated with palm vein biometrics. Fujitsu recently released a
scaled-down version of this technology – Fujitsu PalmSecure LT for SSO,
which will retain most of the benefits of the premium product and yet be priced
below $200.

6.2 DISADVANTAGES
The only weaknesses of palm vein biometric system are the different factor that affects
the quality of captured image. Such factors include body temperature, ambient
temperature and humidity, unevenly distribution of heat, heat radiation, and nearness of
the vein to surface and camera calibration and focus. Most of these factors are natural

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cause which is difficult to overcome.

CONCLUSION
This paper introduces palm vein authentication. This technology is highly secure because it uses
information contained within the body and is also highly accurate because the pattern of veins in
the palm is complex and unique to each individual. Moreover, its contactless feature gives it a
hygienic advantage over other biometric authentication technologies.
This paper also describes some examples of financial solutions and product applications for the
general market that have been developed based on this technology. Many of our customers have
favorably evaluated this technology and have experienced no psychological resistance to using it.

This has encouraged us to start development of new products for various applications, beginning
with financial solutions and followed by access control units and login units.

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Fujitsu will continue to work on reducing the size of components & programs in order to expand
the application range of our authentication solutions. We will also develop products for North
America, Europe, Asia and other overseas markets and continue to promote international
standardization for this technology.

REFERENCES

1. WWW.ZENGINKYO.OR.JP/EN/NEWS/INDEX

2. www.btm.co.jp/english/index.html

3. WWW.networkworld.COM

4.http://www.hirogin.co.jp/eng/index.html

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 5.http://www.ikedabank.co.jp/index.html

6.http://www.surugabank.co.jp/surugabank/05/0501000000.html

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