Recognition of Devanagari Characters Using Neural Networks (Special Issue on Character Recognition and Document Understanding)
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概要
- 論文の詳細を見る
Devanagari is the most widely used script in India. Here, a method is introduced for recognizing Devanagari characters using Neural network. The proposed method reduces the number of output unit necessary for a conventional neural network where the classification is based on a winner take all basis. An automatic coding procedure for representing the output layer of the network and a different method for the final classification is also proposed. Along with the automatic coding procedure, a heuristic method for representing the output units by exploiting the structural information of Devanagari character is also demonstrated. Besides, it has been shown by random representation of the output layer that the representation effects the generalization/performance of the network. The proposed automatic representation gave the recognition rate of 98.09% for 44 categories.
- 社団法人電子情報通信学会の論文
- 1996-05-25
著者
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Nishino Tetsuro
Faculty Of Communication And Systems University Of Electro-communication
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Tan Yasuo
School Of Information Science Japan Advanced Institute Of Science And Technology
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Shimodaira Hiroshi
School Of Information Science Japan Advanced Institute Of Science And Technology
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KEENI Kanad
School of Information Science, Japan Advanced Institute of Science and Technology
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Keeni Kanad
School Of Information Science Japan Advanced Institute Of Science And Technology
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