Character recognition techniques associate a symbolic identity with the image of character. Character recognition is commonly referred to as optical character recognition (OCR), as it deals with the recognition of optically processed characters. Handwriting recognition has been one of the most interesting and challenging research areas in the field of image processing and pattern recognition in...

Character identification plays a vital role in the contemporary world of Image processing. It can solve many composite problems and makes human’s work easier. An instance is Handwritten Character detection. Handwritten recognition is not a novel expertise, but it has not gained community notice until Now. The eventual aim of designing Handwritten Character recognition structure with an accurate...

It is the problem of computer science that how we detect the handwritten character and word, so it is also the problem in the field of image processing and pattern recognition of computer science. The meaning of handwritten character and word recognition refers to the identification of the characters or word which is written by a human being. Our approach is this, how this problem solved correc...

We present in this paper a system of English handwriting recognition based on 26-point feature extraction of the character. Basically an off-line handwritten alphabetical character recognition system using multilayer feed forward neural network has been described in our work. Firstly a new method, called, 26-point feature extraction is introduced for extracting the features of the handwritten a...

Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for OCR on hand written documents. This paper provides a comprehensive review of existing works in handwritten character recognition based on Evolutionary computing technique during the past decade. KeywordsHandwritten Character recognition...

Handwritten character recognition is the ability of a Computer to receive and interpret handwritten input. Computers may find difficultly in deciphering many kinds of printed characters which is of different fonts and styles or handwritten characters. This paper focuses on the recognition of handwritten Malayalam characters. The proposed system consists of image acquisition, preprocessing, segm...

Handwritten character recognition represents a problem that was approached in many ways by the scientists. Although a generally solution for any type of handwritten characters not founded yet, the obtained results give hopes to continue the researches in this field. In this paper, we present a software architecture used in character recognition: Hierarchical Neural Network (HNN) architecture (H...

We present in this paper a system of English handwriting recognition based on 40-point feature extraction of the character. Basically an off-line handwritten alphabetical character recognition system using multilayer feed forward neural network has been described in our work. Firstly a new method, called, 40-point feature extraction is introduced for extracting the features of the handwritten a...