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Manish Kumar Jindal
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2020 – today
- 2023
- [j27]Rupinder Pal Kaur, Munish Kumar, Manish Kumar Jindal:
Performance evaluation of different features and classifiers for Gurumukhi newspaper text recognition. J. Ambient Intell. Humaniz. Comput. 14(8): 10245-10261 (2023) - [j26]Amanpreet Kaur, Munish Kumar, Manish Kumar Jindal:
Cattle identification system: a comparative analysis of SIFT, SURF and ORB feature descriptors. Multim. Tools Appl. 82(18): 27391-27413 (2023) - [j25]Monika Sethi, Munish Kumar, Manish Kumar Jindal:
Gender prediction system through behavioral biometric handwriting: a comprehensive review. Soft Comput. 27(10): 6307-6327 (2023) - [j24]Mohinder Kumar, Manish Kumar Jindal, Munish Kumar:
An efficient technique for breaking of coloured Hindi CAPTCHA. Soft Comput. 27(16): 11661-11686 (2023) - 2022
- [j23]Amanpreet Kaur, Munish Kumar, Manish Kumar Jindal:
Shi-Tomasi corner detector for cattle identification from muzzle print image pattern. Ecol. Informatics 68: 101549 (2022) - [j22]Rajan Goyal, Rajesh Kumar Narula, Manish Kumar Jindal:
Recognition of typewritten Gurmukhi characters. Int. J. Comput. Aided Eng. Technol. 17(3): 257-270 (2022) - [j21]Mohinder Kumar, Manish Kumar Jindal, Munish Kumar:
Design of innovative CAPTCHA for hindi language. Neural Comput. Appl. 34(6): 4957-4992 (2022) - [j20]Rupinder Pal Kaur, Manish Kumar Jindal, Munish Kumar, Simpel Rani Jindal, Shikha Tuteja:
LineSeg: line segmentation of scanned newspaper documents. Pattern Anal. Appl. 25(1): 189-208 (2022) - [j19]Amanpreet Kaur, Munish Kumar, Manish Kumar Jindal:
Cattle identification with muzzle pattern using computer vision technology: a critical review and prospective. Soft Comput. 26(10): 4771-4795 (2022) - 2021
- [j18]Sonika Rani Narang, Munish Kumar, Manish Kumar Jindal:
DeepNetDevanagari: a deep learning model for Devanagari ancient character recognition. Multim. Tools Appl. 80(13): 20671-20686 (2021) - [j17]Mohinder Kumar, Manish Kumar Jindal:
Benchmarks for Designing a Secure Devanagari CAPTCHA. SN Comput. Sci. 2(1): 45 (2021) - [j16]Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma, Simpel Rani Jindal, Harjeet Singh:
Improved recognition results of offline handwritten Gurumukhi characters using hybrid features and adaptive boosting. Soft Comput. 25(17): 11589-11601 (2021) - [j15]Mohinder Kumar, Manish Kumar Jindal, Munish Kumar:
A Novel Attack on Monochrome and Greyscale Devanagari CAPTCHAs. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(4): 56:1-56:30 (2021) - [j14]Rupinder Pal Kaur, Manish Kumar Jindal, Munish Kumar:
Text and graphics segmentation of newspapers printed in Gurmukhi script: a hybrid approach. Vis. Comput. 37(7): 1637-1659 (2021) - [c11]Rupinder Pal Kaur, Munish Kumar, Manish Kumar Jindal:
Segmentation of Unstructured Scanned Devanagari Newspaper Documents. CVIP (1) 2021: 107-117 - 2020
- [j13]Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma, Simpel Rani Jindal:
Performance evaluation of classifiers for the recognition of offline handwritten Gurmukhi characters and numerals: a study. Artif. Intell. Rev. 53(3): 2075-2097 (2020) - [j12]Sonika Rani Narang, Manish Kumar Jindal, Munish Kumar:
Ancient text recognition: a review. Artif. Intell. Rev. 53(8): 5517-5558 (2020) - [j11]Rupinder Pal Kaur, Munish Kumar, Manish Kumar Jindal:
Newspaper text recognition of Gurumukhi script using random forest classifier. Multim. Tools Appl. 79(11-12): 7435-7448 (2020) - [j10]Sonika Rani Narang, Manish Kumar Jindal, Shruti Ahuja, Munish Kumar:
On the recognition of Devanagari ancient handwritten characters using SIFT and Gabor features. Soft Comput. 24(22): 17279-17289 (2020)
2010 – 2019
- 2019
- [j9]Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma, Simpel Rani Jindal:
Character and numeral recognition for non-Indic and Indic scripts: a survey. Artif. Intell. Rev. 52(4): 2235-2261 (2019) - [j8]Sonika Rani Narang, Manish Kumar Jindal, Munish Kumar:
Drop flow method: an iterative algorithm for complete segmentation of Devanagari ancient manuscripts. Multim. Tools Appl. 78(16): 23255-23280 (2019) - [j7]Munish Kumar, Simpel Rani Jindal, Manish Kumar Jindal, Gurpreet Singh Lehal:
Improved Recognition Results of Medieval Handwritten Gurmukhi Manuscripts Using Boosting and Bagging Methodologies. Neural Process. Lett. 50(1): 43-56 (2019) - [j6]Sonika Rani Narang, Manish Kumar Jindal, Munish Kumar:
Devanagari ancient character recognition using DCT features with adaptive boosting and bootstrap aggregating. Soft Comput. 23(24): 13603-13614 (2019) - 2018
- [j5]Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma:
A novel handwriting grading system using gurmukhi characters. Int. Arab J. Inf. Technol. 15(6): 945-950 (2018) - [c10]Munish Kumar, Rajendra Kumar Sharma, Manish Kumar Jindal, Simpel Rani Jindal, Harjeet Singh:
Benchmark Datasets for Offline Handwritten Gurmukhi Script Recognition. DAR@ICVGIP 2018: 143-151 - [c9]Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma, Simpel Rani Jindal:
Performance Comparison of Several Feature Selection Techniques for Offline Handwritten Character Recognition. RICE 2018: 1-6 - 2015
- [j4]Naresh Kumar Garg, Lakhwinder Kaur, Manish Kumar Jindal:
Recognition of Handwritten Hindi Text Using Middle Region of the Words. Int. J. Softw. Innov. 3(4): 62-71 (2015) - 2013
- [j3]Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma:
PCA-based Offline Handwritten Character Recognition System. Smart Comput. Rev. 3(5): 346-357 (2013) - [j2]Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma:
MDP Feature Extraction Technique for Offline Handwritten Gurmukhi Character Recognition. Smart Comput. Rev. 3(6): 397-404 (2013) - 2012
- [c8]Munish Kumar, Rajendra Kumar Sharma, Manish Kumar Jindal:
Offline handwritten Gurmukhi character recognition: study of different feature-classifier combinations. DAR@ICVGIP 2012: 94-99 - [c7]Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma:
Weka-Based Classification Techniques for Offline Handwritten Gurmukhi Character Recognition. SocProS 2012: 711-720 - 2010
- [c6]Munish Kumar, Rajendra Kumar Sharma, Manish Kumar Jindal:
Segmentation of lines and words in handwritten Gurmukhi script documents. IITM 2010: 25-28 - [c5]Naresh Kumar Garg, Lakhwinder Kaur, Manish Kumar Jindal:
A New Method for Line Segmentation of Handwritten Hindi Text. ITNG 2010: 392-397
2000 – 2009
- 2009
- [j1]Manish Kumar Jindal, Gurpreet Singh Lehal, Rajendra Kumar Sharma:
On Segmentation of Touching Characters and Overlapping Lines in Degraded Printed Gurmukhi Script. Int. J. Image Graph. 9(3): 321-353 (2009) - [c4]Manish Kumar Jindal, Rajendra Kumar Sharma, Gurpreet Singh Lehal:
Segmentation of touching characters in upper zone in printed Gurmukhi script. Bangalore Compute Conf. 2009: 9 - 2008
- [c3]Manish Kumar Jindal, Rajendra Kumar Sharma, Gurpreet Singh Lehal:
Structural Features for Recognizing Degraded Printed Gurmukhi Script. ITNG 2008: 668-673 - 2007
- [c2]Manish Kumar Jindal, Rajendra Kumar Sharma, Gurpreet Singh Lehal:
A Study of Different Kinds of Degradation in Printed Gurmukhi Script. ICCTA 2007: 538-544 - 2005
- [c1]Manish Kumar Jindal, Gurpreet Singh Lehal, Rajendra Kumar Sharma:
A Study of Touching Characters in Degraded Gurmukhi Text. WEC (2) 2005: 121-124
Coauthor Index
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