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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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發(fā)表于 2025-3-21 19:05:09 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Biometric Recognition
期刊簡稱8th Chinese Conferen
影響因子2023Zhenan Sun,Shiguan Shan,YiLong Yin
視頻videohttp://file.papertrans.cn/189/188179/188179.mp4
發(fā)行地址Up-to-date results.State-of-the-art research.Fast-track conference proceedings
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Biometric Recognition; 8th Chinese Conferen Zhenan Sun,Shiguan Shan,YiLong Yin Conference proceedings 2013 Springer International Publishin
影響因子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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書目名稱Biometric Recognition影響因子(影響力)




書目名稱Biometric Recognition影響因子(影響力)學(xué)科排名




書目名稱Biometric Recognition網(wǎng)絡(luò)公開度




書目名稱Biometric Recognition網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Biometric Recognition被引頻次




書目名稱Biometric Recognition被引頻次學(xué)科排名




書目名稱Biometric Recognition年度引用




書目名稱Biometric Recognition年度引用學(xué)科排名




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書目名稱Biometric Recognition讀者反饋學(xué)科排名




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沙發(fā)
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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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