Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Automated reading of handwritten Kannada documents is highly challenging due to the
presence of vowels, consonants and its modifiers. The variable nature of handwriting styles …

Deep metric learning is one of the recommended methods for the challenge of supporting
few/zero-shot learning by deep networks. It depends on building a Siamese architecture of …

In a current generation many of researches developed to convert photogenic data into digital
information. But this development consider only for popular languages like English, Latin …

Handwritten character recognition is a very interesting and challenging branch of pattern
recognition. It has an impressive range of applications, from filling up banking applications to …

Abstract Handwritten Character Recognition is the emerging domain for the research in
image processing and pattern recognition because a huge amount of handwritten and OCR …

Handwritten character recognition plays an important role when the handwritten text on
paper, postcards, etc. requires conversion of the handwritten text into digitized form. The …

Kannada, A dravidian language of south India that consists of kannada numerals from 0 to 9
and 49 letters that are further classified into swara, vyanjana and yogavahagalu. The task …

India is a country with many states, the form of documentation in Government offices and
healthcare departments are in regional languages, and digitizing the document is a …

Handwritten character recognition is a crucial process that involves converting handwritten
text on different surfaces, such as paper and postcards, into digital formats, making it …