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Titlebook: Biometric Recognition; 9th Chinese Conferen Zhenan Sun,Shiguang Shan,Weiqi Yuan Conference proceedings 2014 Springer International Publishi

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發(fā)表于 2025-3-21 19:24:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Biometric Recognition
期刊簡(jiǎn)稱9th Chinese Conferen
影響因子2023Zhenan Sun,Shiguang Shan,Weiqi Yuan
視頻videohttp://file.papertrans.cn/189/188176/188176.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Biometric Recognition; 9th Chinese Conferen Zhenan Sun,Shiguang Shan,Weiqi Yuan Conference proceedings 2014 Springer International Publishi
影響因子This book constitutes the refereed proceedings of the 9th Chinese Conference on Biometric Recognition, CCBR 2014, held in Shenyang, China, in November 2014. The 60 revised full papers presented were carefully reviewed and selected from among 90 submissions. The papers focus on face, fingerprint and palmprint, vein biometrics, iris and ocular biometrics, behavioral biometrics, application and system of biometrics, multi-biometrics and information fusion, other biometric recognition and processing.
Pindex Conference proceedings 2014
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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(kāi)度




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




書目名稱Biometric Recognition讀者反饋




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




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Andrea Camperio Ciani,Brunetto Chiarellio apply the TPSR method to real-world problems. In this paper, we propose an improvement to TPSR (ITPSR), which can choose a proper value of parameter . for obtaining the optimal performance. Extensive experiments show that the proposed ITPSR is feasible and can obtain excellent performance.
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地板
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Kathrin Kaufhold,Jeanna Wennerberge in each frame, and then LBP is used to extract the feature of texture. Finally, we obtain the result by SRC algorithm. Experimental results show that the system can deal with real-time video and have robustness to the illumination.
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A Real-Time Face Recognition System Based on IP Camera and SRC Algorithme in each frame, and then LBP is used to extract the feature of texture. Finally, we obtain the result by SRC algorithm. Experimental results show that the system can deal with real-time video and have robustness to the illumination.
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Conference proceedings 2014palmprint, vein biometrics, iris and ocular biometrics, behavioral biometrics, application and system of biometrics, multi-biometrics and information fusion, other biometric recognition and processing.
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