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Content Provider | IEEE Xplore Digital Library |
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Author | Ren Junling Wang Chengquan Guo Jun |
Copyright Year | 2004 |
Description | Author affiliation: Pattern Recognition & Intelligent Syst. Lab., Beijing Univ. of Posts & Telecommun., China (Ren Junling; Wang Chengquan; Guo Jun) |
Abstract | In course of generating templates of handwritten Chinese characters, the method based on average of the samples features is popular. In this paper, an approach based on quantile is put forward to generate templates. According to our experiments, this method of template generating is robust than that one based on average and it improves the performance of recognition system in the case of not increasing any complexity of the algorithm. At the same time, the method is universal and can be in combination with diversified feature extraction methods. |
Starting Page | 1393 |
Ending Page | 1396 |
File Size | 621764 |
Page Count | 4 |
File Format | |
ISBN | 0780384067 |
DOI | 10.1109/ICOSP.2004.1441586 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-08-31 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Character recognition Handwriting recognition Character generation Robustness Statistics Pattern recognition Feature extraction Gaussian distribution Intelligent systems Utility programs |
Content Type | Text |
Resource Type | Article |
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