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 …

In this paper, to compute the firing strength values of type-2 fuzzy models, a soft version of
minimum is presented, which endows the fuzzy model with the ability to solve large …

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

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 …

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) …

Zernike moments (ZMs) are used in many image processing applications due to their
superior performance over other moments. However, they suffer from high computation cost …

Computer vision is a very vast concept and a lot of researchers are inventing new ideas to
improve recognition accuracy for the machine. Today one can see driverless cars, automatic …

Deep neural network architectures have been used successfully in various document
analysis studies. Its strength in producing human like performance has already been …

Compound character recognition of Devanagari script is one of the challenging tasks since
the characters are complex in structure and can be modified by writing combination of two or …

This paper develops local learning algorithms to solve a classification task with the help of
biologically inspired mathematical models of spiking neural networks involving the …