期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2011
卷号：2
期号：2
页码：721-726
出版社：TechScience Publications
摘要：In this paper an attempt is made to develop English character recognition system. The paper describes the process of character recognition using the hybrid algorithm of Back Propagation and Genetic Algorithm for the recognition of uppercase alphabets. In the survey, it is found that back propagation is although an efficient technique for training multilayer feed forward network. But it suffers from scaling, local minima like problems. And also it is studied that Genetic Algorithm is good optimization technique. It is effective for global search of large, poorly understood spaces. The system is thrown through numbers of steps of character recognition system like preprocessing, segmentation and feature extraction. Distinctive features for each character are extracted. Those features are passed to hybrid algorithm of Back Propagation neural network and Genetic Algorithm. With the increasing growth of internet, also the demand of online information system has increased. There are various applications like in post offices; banks etc. where character recognition systems are used.
