The easy availability and rapid use of online devices like Take note, PDA, smartphones, etc.
at an affordable price increase the demand for online handwriting recognition. In this …

This paper presents a comprehensive review of the feature extraction techniques for
character recognition (CR) which will be helpful for the new researchers to understand the …

We report an algorithm to identify the script of each word in a document image. We start with
a bi-script scenario which is later extended to tri-script and then to eleven-script scenarios. A …

The robustness of a typical Handwritten character recognition system relies on the
availability of comprehensive supervised data samples. There has been considerable work …

In the present scenario, Handwriting Recognition (HWR) plays a very important role as due
to current pandemic situations most of the exams are conducted in online mode. In HWR the …

The uniqueness of an individual can be identified according to one's behavior, qualities,
skills, characteristics, social connectivity, knowledge which all resemble to a single term …

Optical character recognition (OCR) system has been widely used for conversion of images
of typed, handwritten or printed text into machine-encoded text (digital character). Previous …

This paper presents integration and testing scheme for managing a large Multilingual OCR
Project. The project is an attempt to implement an integrated platform for OCR of different …

Optical character recognition (OCR) is widely used in various real-world applications, such
as digitizing learning resources, to assist visually impaired people and transform printed …

In optical character recognition of very old books, the recognition accuracy drops mainly due
to the merging or breaking of characters. In this paper, we propose the first algorithm to …