Handwriting has continued to persist as a means of communication and recording
information in day-to-day life even with the introduction of new technologies. Given its …

Character recognition (CR) has been extensively studied in the last half century and has
progressed to a level that is sufficient to produce technology-driven applications. Now …

In this work we propose a method for simultaneously learning features and a corresponding
similarity metric for person re-identification. We present a deep convolution architecture with …

This paper presents a survey on off-line Cursive Word Recognition. The approaches to the
problem are described in detail. Each step of the process leading from raw data to the final …

This paper presents new techniques for slant and slope removal in cursive handwritten
words. Both methods require neither heuristics nor parameter tuning. This avoids the heavy …

A method of recognizing a handwritten word of cursive script includes providing a template
of previously classified words, and optically reading a handwritten word so as to form an …

The automatic transcription of text in handwritten documents has many applications, from
automatic document processing, to indexing and document understanding. One of the most …

Neural network are most popular in the research community due to its generalization
abilities. Additionally, it has been successfully implemented in biometrics, features selection …

This paper presents a holistic off-line handwriting recognition system based on extraction of
directional features which depends on the stroke orientation distribution of cursive word …

Contour representations of binary images of handwritten words afford considerable
reduction in storage requirements while providing lossless representation. On the other …