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模糊集在手写数字识别中的应用 被引量:1

The Application of Fuzzy Set to the Recognition of Handwritten Digits
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摘要 为提高识别速度,本文提出先对文字图象进行直(折)线段、圆的LMSE近似并用Fuzzy定义算法进行描述,以得到对书写工整的部分数字的快速识别,其速度提高近两倍(达到375个/秒),约有20%的字在这一过程中就可以被识别。本文叙述的算法已经用在我们进行的无限制手写数字识别系统的实验中;反复使用表明:本文提出的方法既快又准确。 In order to obtain rapid recognition we use Fuzzy label algorithm (FLA) for the recognition of handwritten digit in this paper. First, we describe some of well-written digits by means of circle approximation or line segment approximation by means of LMSE method, then. And we use FLA and other experimental parameters to reason,therefore final judgements are obtained. It is very convienent to the discrimination of well-written digit patterns. The proposed method has been used in the first stage of our OCR system. Experiments show that it works effectively and almost doubled the recognition speed (375 digits per second on EDC-5000 wrokstaion). About twenty percent of input patterns are recogonised by this Fuzzy set method after test on a lager database.
机构地区 南京大学声学所
出处 《模糊系统与数学》 CSCD 1996年第2期70-75,共6页 Fuzzy Systems and Mathematics
关键词 模式识别 模糊集 数字识别 手写数字识别 Pattern recognition Fuzzy set Digit recognition
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  • 1李相镐.模糊聚类分析及应用[M].贵阳:贵州科技出版社,1994..
  • 2胡学刚 唐小虎 李中夫.广义三角模的表示及应用[J].模糊系统与数学,1994,8:545-550.
  • 3BEZDEK J C,HARRIS J D. Fuzzy partition and relations: an axiomatic basis for clustering[J]. Fuzzy Sets and Systems ,1978,(1):111-127.
  • 4韩立岩 汪培庄.应用模糊数学[M].北京:首都经济贸易大学出版社,1989.148-152.

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