期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2010
卷号：3
期号：1
页码：115-120
语种：English
出版社：Oriental Scientific Publishing Company
摘要：There are different techniques that can be used to recognize handwritten digits and characters. Two techniques discussed in this paper are: Pattern Recognition and Artificial Neural Network. Both techniques are defined and different methods for each technique is also discussed. Bayesian Decision theory, Nearest Neighbor rule, and Linear Classification or Discrimination is types of methods for Pattern Recognition. Shape recognition, Character and Handwritten Digit recognition uses Neural Network to recognize them. Neural Network is used to train and identify written digits. After training and testing, the accuracy rate reached 99%.This accuracy rate is very high.
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