The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …

In this paper, robust algorithms for character segmentation and recognition are presented for
multilingual Indian document images of Latin and Devanagari scripts. These documents …

The Aim of the proposed paper is to recognize offline Hand written Telugu characters using
Optical character recognition, OCR is one of the most popular and challenging topic of …

In recent years, the non-handcrafted feature extraction methods have gained increasing
popularity for solving pattern classification tasks due to their inherent ability to extract robust …

Handwritten Character Recognition is most challenging area of research, in which for
various aspects a little enhancement can be always achieved. It is due to the irregularity of …

The cultural and regional diversity across the world and specifically in India has given birth
to a large number of writing systems and scripts having a variety of character sets. For scripts …

Offline handwritten recognition system for Odia characters has received attention in the last
few years. Although the recent research showed that there has been lots of work reported in …

At present, there are still many deficiencies in Chinese-Japanese machine translation
methods, the processing of corpus information is not deep enough, and the translation …

Character recognition is a challenging area in Machine Learning, Pattern Recognition or
Image Processing. The accuracy to recognize handwritten character by human is far better …

Background: In the past decades, handwritten character recognition has received
considerable attention from researchers across the globe because of its wide range of …