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Titlebook: Biometric Recognition; 6th Chinese Conferen Zhenan Sun,Jianhuang Lai,Tieniu Tan Conference proceedings 2011 The Editor(s) (if applicable) a

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发表于 2025-3-21 18:26:06 | 显示全部楼层 |阅读模式
期刊全称Biometric Recognition
期刊简称6th Chinese Conferen
影响因子2023Zhenan Sun,Jianhuang Lai,Tieniu Tan
视频video
发行地址Up to date results.State of the art research.Fast track conference proceedings
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Biometric Recognition; 6th Chinese Conferen Zhenan Sun,Jianhuang Lai,Tieniu Tan Conference proceedings 2011 The Editor(s) (if applicable) a
影响因子This book constitutes the refereed proceedings of the 6th Chinese Conference on Biometric Recognition, CCBR 2011, held in Beijing, China in December 2011. The 35 revised full papers were carefully reviewed and selected from 71 submissions. The papers are organized in topical sections on problems in face; iris; hand biometrics; speaker; handwriting; gait; behavioral and soft biometrics; and security.
Pindex Conference proceedings 2011
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书目名称Biometric Recognition影响因子(影响力)




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书目名称Biometric Recognition被引频次




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书目名称Biometric Recognition读者反馈




书目名称Biometric Recognition读者反馈学科排名




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发表于 2025-3-21 22:56:06 | 显示全部楼层
Culture as a Vehicle, not a Bridgenon-Asian are classified into two classes in experiments. Extensive experimental results show that the proposed method achieves encouraging classification rate and largely improves the ethnic classification performance comparing to existing algorithms.
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https://doi.org/10.1007/978-94-011-2056-2ets the conditions of closed criterion and dimension criterion or not. If met, treat the pixels in the contour as the edge of the plaques. By comparing with the other algorithms, we found that our method is more efficient and suitable to complex background as iris images and it’s less blind.
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0302-9743 lected from 71 submissions. The papers are organized in topical sections on problems in face; iris; hand biometrics; speaker; handwriting; gait; behavioral and soft biometrics; and security.978-3-642-25448-2978-3-642-25449-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-1-4615-9077-4that our recognition algorithm has obvious improvement in normal face recognition application and also performances satisfactorily in finding out duplicate entries in huge face image database of more than 60,000 items.
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