文章基本信息

标题：Improvement in Efficiency of Recognition ofHandwritten Gurumukhi Script
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作者：Naveen Garg ; Sandeep Kaur
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：3(Version 1)
出版社：Ayushmaan Technologies
摘要：In this paper we discuss Multi-Layer Perceptron (MLP) networks for recognition of handwritten Gurumukhi Characters (HGCR). For training of MLP networks error back propagation algorithm is used. We present an automatic HGCR system using MLP networks. Many techniques have been used to recognize Gurumukhi characters but accuracy of recognition is not so much efficient as efficiency of recognition of other scripts. Multilayer Perceptron neural network is used for recognition of characters of other scripts. We would like to use MLP for HGCR so that recognition can be done accurately and efficiently.
关键词：Handwritten Gurumukhi character recognition (HGCR); Optical;character recognition (OCR); Handwritten character recognition;(HCR) multilayer Perceptron (MLP) neural network.n