文章基本信息

标题：Handwritten libretto recognition using multilayer and cluster neural network
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作者：Anurag Lal
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
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. Bothtechniques are defined and different methods for each technique is also discussed. Bayesian Decisiontheory, Nearest Neighbor rule, and Linear Classification or Discrimination is types of methods forPattern Recognition. Shape recognition, Character and Handwritten Digit recognition uses NeuralNetwork to recognize them. Neural Network is used to train and identify written digits. After training andtesting, the accuracy rate reached 99%.This accuracy rate is very high
关键词：Pattern recognition; multilayer ; cluster neural network