Biometric Recognition: 7th Chinese Conference, CCBR 2012, by Chao Wang, Yunhong Wang, Zhaoxiang Zhang (auth.), Wei-Shi

By Chao Wang, Yunhong Wang, Zhaoxiang Zhang (auth.), Wei-Shi Zheng, Zhenan Sun, Yunhong Wang, Xilin Chen, Pong C. Yuen, Jianhuang Lai (eds.)

This booklet constitutes the refereed complaints of the seventh chinese language convention on Biometric acceptance, CCBR 2012, held in Guangzhou, China, in December 2012. The forty six revised complete papers have been rigorously reviewed and chosen from eighty submissions. The papers handle the issues in face, iris, hand biometrics, speaker, handwriting, gait, delicate biometrics, safety and different comparable subject matters, and give a contribution new principles to investigate and improvement of trustworthy and useful recommendations for biometric authentication.

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Additional resources for Biometric Recognition: 7th Chinese Conference, CCBR 2012, Guangzhou, China, December 4-5, 2012. Proceedings

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In: Proc. Conf. Automatic Face and Gesture Recognition, Washington (2002) 36. : Illumination invariant feature extraction and mutual-information-based local matching for face recognition under illumination variation and occlusion. Pattern Recognition 44, 2576–2587 (2011) 37. : Illumination Invariant Feature Extraction Based on Natural Images Statistics – Taking Face Images as An Example. In: CVPR 2011 (2011) 38. : Pose, illumination and expression invariant pairwise face-similarity measure via Doppelgänger list comparison.

The detailed analysis is presented in Section 4. Note that we don’t want to conduct an experimental comparison on state-of-the-art methods, but to study “why” and “how” the two-step framework works well for the mentioned issue in this paper. 2 Review of Related Work Numerous illumination-insensitive face recognition methods have been proposed in the past decades. In 2007, Xuan et al. had presented an extensive survey of the passive techniques [32]. In this section, we briefly introduce the representative and the up-to-date techniques to address the problem of illumination variation in face recognition based on single image.

1597–1600 (2009) 11. : The feret database and evaluation procedure for face recognition algorithms. Journal of Image and Vision Computing 16(5), 295–306 (1998) 12. : The CMU Pose, Illumination Expression Database. com Abstract. In this paper, the methods for single image-based face recognition under varying lighting are reviewed. Meanwhile, some representative methods as well as their combinations are evaluated by experiments, and the underlying principle of the experimental results is investigated.

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