Scene text recognition is a challenging task due to diverse variations of text instances in
natural scene images. Conventional methods based on CNN-RNN-CTC or encoder-decoder …

Historical Chinese character recognition has been suffering from the problem of lacking
sufficient labeled training samples. A transfer learning method based on Convolutional Neural …

Scene text detection has been significantly advanced over recent years, especially after the
emergence of deep neural network. However, due to high diversity of scene texts in scale, …

Historical Chinese character recognition faces problems including low image quality and
lack of labeled training samples. We propose a generative adversarial network (GAN) based …

With the rapid development of mobile computing, biometric identification technologies
including face recognition on smart phones become increasingly attractive. There are two main …

Increasing pesticide contamination in foods of animal origin has made the wide-scope multi-residue
analysis of pesticides an international concern. In this study, a sensitive and reliable …

Offline handwriting recognition is a well-known challenging task in the optical character
recognition field due to the difficulty caused by various unconstrained handwriting styles and …

In China, the status and risks of pesticide residues in edible mint is essentially unknown. In
this study, we evaluated the residual status and associated risks of 208 pesticides in edible …

License plate recognition is an important technology in many application scenarios such as
traffic monitoring and vehicle management. Due to variations of viewpoint, illumination, …

Mongolian is one of the most common written languages in China, Mongolia, and Russia.
Many printed Mongolian documents still remain to be digitized for digital library applications. …