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基于归一化背景方向特征的脱机手写汉字识别 被引量:2

Normalized background directional feature for off-line handwritten Chinese character recognition
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摘要 对4方向背景方向特征进行了改进,提出了8方向背景特征描述方法。与4方向背景方向特征描述方法相比,改进后的特征描述方法可以从0°、45°、90°、135°、180°、225°、270°、315°共8个方向来对汉字图像进行考察,从而进一步提高描述的精度。此外,为了消除笔划粗细的影响,还对背景方向特征进行了归一化处理。实验结果表明改进后的归一化8方向背景方向特征具有更高的识别精度。 This paper presents an improved background directional feature extraction method.Compares to the traditional one,the new method extends the scanning directions from 4 to 8 which can detail the concavity configurations among the foreground pixels and the background pixels.Moreover,in order to reduce the influence of the stroke thickness,a normalization process is also given.Experiments on off-line handwritten Chinese amount in words show that the proposed method is more superior to the older one.
出处 《计算机工程与应用》 CSCD 北大核心 2007年第30期190-192,共3页 Computer Engineering and Applications
基金 国家自然科学基金(the National Natural Science Foundation of China under Grant No.60673160)。
关键词 背景方向特征 汉字识别 特征提取 background directional feature character recognition feature extraction
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参考文献3

  • 1吴佑寿,丁晓青.汉字识别原理与方法[M].北京:高等教育出版社,1992.
  • 2Hildebrandt T H,Liu Wen-tai.Optical recognition of handwritten Chinese characters:advances since 1980[J].Pattern Recognition Society, 1993,26 (2): 205-225.
  • 3de S Britto A,Sabourin R,Bortolozzi F,et al.Foreground and back-ground information in an HMM-based method for recognition of isolated characters and numeral Strings [C]//Proceedings of the 9th Int'l Workshop on Frontiers in Handwriting Recognition,Tokyo, Japan, 2004: 371-376.

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