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Titlebook: Biometric Recognition; 8th Chinese Conferen Zhenan Sun,Shiguan Shan,YiLong Yin Conference proceedings 2013 Springer International Publishin

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发表于 2025-3-21 19:05:09 | 显示全部楼层 |阅读模式
期刊全称Biometric Recognition
期刊简称8th Chinese Conferen
影响因子2023Zhenan Sun,Shiguan Shan,YiLong Yin
视频videohttp://file.papertrans.cn/189/188179/188179.mp4
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; 8th Chinese Conferen Zhenan Sun,Shiguan Shan,YiLong Yin Conference proceedings 2013 Springer International Publishin
影响因子This book constitutes the refereed proceedings of the 8th Chinese Conference on Biometric Recognition, CCBR 2013, held in Jinan, China, in November 2013. The 57 revised full papers presented were carefully reviewed and selected from among 100 submissions. The papers address the problems in face, fingerprint, palm print, vein biometrics, iris and ocular biometrics, behavioral biometrics and other related topics, and contribute new ideas to research and development of reliable and practical solutions for biometric authentication.
Pindex Conference proceedings 2013
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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读者反馈




书目名称Biometric Recognition读者反馈学科排名




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https://doi.org/10.1007/0-387-32186-1y hamming distance between the probe face image and the CPBS. Experimental results on the CMU-PIE and FERET face databases show that our approach has performance comparable to state-of-the-art approaches, while not requiring face alignment or landmark fitting.
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An Illumination Invariant Face Recognition Scheme to Combining Normalized Structural Descriptor withD is extracted from the normalized image from SSR. And the face recognition is performed by the similarity of NSD. The experimental results on the Yale Face Database B and Extended Yale Face Database B show that our approach has performance comparable to state-of-the-art approaches.
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A Simplified Active Shape Model for Speeding-Up Facial Features Detectiont to different facial features, the detected results are promoted as well. We also design multiple experiments to verify our hypothesis by varying searching region. Experiments on MBGC databases prove the effect of the proposed simplified ASM model (sASM).
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