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. Even though, sufficient studies have performed in foreign scripts like Chinese, Japanese and Arabic characters, only a very few work can be traced for handwritten character recognition of Indian scripts es...

Combination of multiple classi ers is regarded as an e+ective strategy for achieving a practical system of handwritten character recognition. A great deal of research on the methods of combining multiple classi ers has been reported to improve the recognition performance of single characters. However, in a practical application, the recognition performance of a group of characters (such as a po...

This is the final report for the term project in CSE 581 (Pattern Recognition). The goal of this project is to develop a character recognition system that is able to recognize and classify a subset of the Korean language. Training and test samples where obtained from Korean books, additional sets created by applying a degradation model to the obtained samples. Using geometrical, statistical and...

Writing which has been the most natural method of collecting, storing and transmitting information through the centuries, now serves not only for the communication among humans, but also for the communication of humans and machines. The free style handwriting recognition is difficult not only because of the great amount of variations involved in the shape of characters, but also because of the ...

Handwriting continues to play a significant role in daily life, warranting continued research in the field of intelligent character recognition. East asian scripts, such as Japanese, remain challenging to process efficiently with high accuracy due to their vast number of symbols. In this work, a modular design schema based on reviews of previous work and the characteristics of the Japanese kanj...

Video-based handwritten Character Recognition (VCR) system is a new type of character recognition system with many unique advantages over on-line character recognition system. Its main problem is to effectively extract stroke dynamic information from video data for character recognition. In this paper, we propose a new stroke extraction algorithm through dynamic stroke information analysis for ...

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...

Handwritten character pattern recognition methods are generally divided into two types: online recognition and offline recognition [1]. Online recognition recognizes character patterns captured from a pen-based or touch-based input device where trajectories of pentip or finger-tip movements are recorded, while offline recognition recognizes character patterns captured from a scanner or a camera...

Text detection and Character recognition from the image has been one of the most interesting and challenging research areas in field of pattern recognition, artificial intelligence, machine vision and image processing in the recent years. There are basically four steps that include preprocessing, feature extraction, candidate’s selection, and desired character recognition to develop any of the ...