In pattern recognition there is a variety of applications where the patterns are classi ed using edit distance. In this paper we present some results comparing the use of tree and string edit distances in a handwritten character recognition task. Some experiments with di erent number of classes and of classi ers are done.

In this paper, we are presenting our work on the creation of the first optical character recognition (OCR) model for Northern Haida, also known as Masset or Xaad Kil, a nearly extinct First Nations language spoken in the Haida Gwaii archipelago in British Columbia, Canada. We are addressing the challenges of training an OCR model for a language with an extensive, non-standard Latin character se...

To extract a set of suitable features from all Chinese characters for the purpose of classiication is essential in the design of an Optical Character Recognition (OCR) system for printed Chinese characters. Moment descriptors have been developed as features in pattern recognition since the moment method was rst introduced. The moment method is diierent from other feature extraction methods used...

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 ...

At present scenario, there is growing demand for the software system to recognize characters in a computer system when information is scanned through paper documents. This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determined that have been proposed to realize the center of character recognition in an optical character recognition system...

Department of Computer Science Amrita Vishwa Vidyapeetham, Mysore Campus Bogadi, Mysore INDIA _____________________________________________________________________________________ Abstract: Recognition of text document images is the inclination of any optical character recognition systems. This paper aims at extending the functionality of optical character recognition system to recognize more t...