As a result of advances in optical character recognition research, several techniques for
handwritten character recognition have surfaced. These techniques require good quality …

An off-line Nepali handwritten character recognition, based on the neural networks, is
described in this paper. A good set of spatial features are extracted from character images …

A multiple classification system based on a new boosting technique has been approached
utilizing different biometric traits, that is, color face, iris and eye along with fingerprints of right …

Objectives: A boosting based multiple classifier system has been developed using different
biometric features like finger-print, palm-print, wrist-vein and handwriting for person …

Character recognition is the most important research area in today's world. Many
researchers have focused on recognizing handwritten digits, numerals and characters in so …

This present paper designs and develops a new modified Radial Basis Function Network
(RBFN) based on Heuristic Based Clustering (HBC) for recognizing and localizing clear as …

Handwritten character recognition is a challenging task owing to various writing styles of
different individuals. In this paper, a recognition system for offline handwritten Gurmukhi …

A boosting-based multi-classification system has been designed and established using
different biometric features, that is, fingerprints of both right and left hands and handwriting …

In this paper, a modified radial basis function network (RBFN) based on self-organization
mapping (SOM) has been designed and developed for rotation invariant clear as well as …

Homomorphic transforms are better suited for pattern recognition or classification. In
general, homomorphic maps are not invertible and hence they are known as …