模式识别与人工智能
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  2010, Vol. 23 Issue (2): 203-209    DOI:
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Writer Identification of Offline Chinese Handwriting Documents Based on Feature Fusion
YAN Yu-Chen,CHEN Qing-Hu,YUAN Feng,DENG Wei
School of Electronic Information,Wuhan University,Wuhan 430079

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Abstract  A text-independent method for writer identification is proposed based on the fusion of text-dependent features. A two-factor model is developed, and thus the feature of handwriting is decomposed into the character factor and the writing factor. According to the deviation analysis of the two factors and data mining, the writing factor is separated, the text-independent feature based on text-dependent method is extracted, and the classifier is developed. The proposed method is effective for the samples with few characters, especially for the samples without the same characters between the unknown script and the corresponding one in the database. The proposed method provides a new way for writer identification with few characters in the writing sample.
Key wordsData Mining      Writer Identification      Text-Independent Approach      Text-Dependent Approach      Feature Fusion      Direction Index Histogram     
Received: 04 January 2009     
ZTFLH: TP391  
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YAN Yu-Chen
CHEN Qing-Hu
YUAN Feng
DENG Wei
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YAN Yu-Chen,CHEN Qing-Hu,YUAN Feng等. Writer Identification of Offline Chinese Handwriting Documents Based on Feature Fusion[J]. , 2010, 23(2): 203-209.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2010/V23/I2/203
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