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

Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …

This article primarily concerns the problem of isolated handwritten numeral recognition of
major Indian scripts. The principal contributions presented here are (a) pioneering …

In India, more than 300 million people use Devanagari script for documentation. There has
been a significant improvement in the research related to the recognition of printed as well …

India is a multi-lingual multi-script country but there is not much work towards handwritten
character recognition of Indian languages. In this paper we propose a modified quadratic …

This paper deals with the recognition of handwritten Malayalam character using wavelet
energy feature (WEF) and extreme learning machine (ELM). The wavelet energy (WE) is a …

Character recognition from handwritten images has received greater attention in research
community of pattern recognition due to vast applications and ambiguity in learning …

Numeral recognition plays a crucial role in creating automated systems such as posting
address sorting and license plate recognition. Nowadays, numeral recognition systems …

The writing style is a unique characteristic of a human being as it varies from one person to
another. Due to such diversity in writing style, handwritten character recognition (HCR) …

Quantum cellular automata (QCA) is a new technology in nanometer scale as one of the
alternatives to nano cmos technology, QCA technology has large potential in terms of high …