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- W2355400654 abstract "In this paper,we talk about the issue of handwritten numeral recognition,and proposes an identification method based on BP neural network.What we do is to change the location and size in the picture.We found that,they both directly affect picture recognition effect.This paper is,firstly extracted the contour of the number,and then normahze them into the picture of.To do so,not only makes the image region the same size,but also in the image center.This makes the recognition more ideal,to achieve high identification purposes.In addition,we choose BP network with better tolerance,and 200 groups of handwritten digital image as the input vector,110 groups of of the other as recognition,the efficiency reached more than 90%." @default.
- W2355400654 created "2016-06-24" @default.
- W2355400654 creator A5080941571 @default.
- W2355400654 date "2014-01-01" @default.
- W2355400654 modified "2023-09-28" @default.
- W2355400654 title "Research of Handwritten Number Recognition Method Based on Neural Network Algorithm" @default.
- W2355400654 hasPublicationYear "2014" @default.
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