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 …

Manuscripts serve as a wealth of knowledge for future generations and are a useful source
of information for locating material from the Middle Ages. Ancient manuscripts can be found …

ABSTRACT Optical Character Recognition (OCR) is an interesting and challenging field of
research in pattern recognition, artificial intelligence and machine vision and is used in …

Offline handwritten character recognition (OHCR) is the method of converting handwritten
text into machine processable layout. Since late sixties, efforts have been made for offline …

In this paper, we analyzed the impact of combination of feature extraction and classification
techniques for recognition of offline handwritten segmented Gurmukhi characters. Also …

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

Digitization and Recognition of handwritten documents have become popular with the
growth of advances in Computing. Even after the introduction of new technologies …

Digital image processing has become economical in many fields like signature recognition,
iris recognition and face recognition, in forensics, in automobile detection and in military …

Efficient character recognition in ancient handwritten Devanagari documents is crucial for
societal advancements. Challenges such as overlapping characters, missing headlines, and …

In this paper an isolated handwritten Gurumukhi character recognition system using SVM
classifier is presented. Diagonal features are used for extracting the features of a character …