Handwriting recognition has become an active area of research in pattern recognition and
machine learning in recent years. Handwriting recognition systems have a variety of …

English Character Recognition (CR) has been extensively studied in the last half century
and progressed to a level, sufficient to produce technology driven applications. But same is …

Offline handwriting recognition in Indian regional scripts is an interesting area of research as
almost 460 million people in India use regional scripts. The nine major Indian regional …

The development of handwriting character recognition (HCR) is an interesting area in
pattern recognition. HCR system consists of a number of stages which are preprocessing …

Due to the cursive nature, segmentation of handwritten Bangla words into characters and
also recognition of the same sometimes become a very challenging problem to the …

Segmentation of handwritten words into isolated characters and their recognition are
challenging due to the presence of high variability and cursiveness in Indian scripts. The …

This paper deals with offline handwritten word recognition of a major Indic script: Bengali.
Due to the structure of this script, the characters (mostly ortho-syllables) are frequently …

Building accurate lexicon free handwritten text recognizers for Indic languages is a
challenging task, mostly due to the inherent complexities in Indic scripts in addition to the …

In handwritten character recognition, benchmark database plays an important role in
evaluating the performance of various algorithms and the results obtained by various …

This paper presents a novel approach for offline Bangla (Bengali) handwritten word
recognition by Hidden Markov Model (HMM). Due to the presence of complex features such …