Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Handwritten signatures are biometric traits at the center of debate in the scientific
community. Over the last 40 years, the interest in signature studies has grown steadily …

Convolutional neural networks (CNNs) have previously been broadly utilized to binarize
document images. These methods have problems when faced with degraded historical …

Automatic processing of offline signature verification (in general) can be considered as a low-
cost solution to problems in biometrics in comparison with other solutions (eg fingerprint …

A comparison of error rates between studies in forensic handwriting examination has been
made in response to the lack of knowledge on error in this field. Fifteen indicators have been …

In the real world, a human tourist can quickly arrive at a target along the route planned by
his/her instinctive cognition of prepared maps. While on the mobile robot, it is required to …

Bank Cheques are used mainly for financial transactions due to which they are processed in
enormous amounts on daily basis around the globe. Often, Cheque execution time and …

Courtesy amount recognition from bank checks is an important application of pattern
recognition. Although much progress has been made on isolated digit recognition for Indian …

Most of word recognition systems rely on a pre-defined lexicon in aims to achieve high
performance. Recently, the availability of training/testing data allows to include a huge …

Due to the cursive-ness and high variability of Persian scripts, the segmentation of
handwritten words into sub-words is still a challenging task. These issues could be …