Get Advances in Biometric Person Authentication: International PDF

By Matti Pietikäinen, Abdenour Hadid (auth.), Stan Z. Li, Zhenan Sun, Tieniu Tan, Sharath Pankanti, Gérard Chollet, David Zhang (eds.)

ISBN-10: 3540294317

ISBN-13: 9783540294313

This e-book constitutes the refereed complaints of the foreign Workshop on Biometric popularity platforms, IWBRS 2005, held in Beijing, China in October 2005 in the scope of ICCV 2005, the foreign convention on desktop imaginative and prescient. This workshop combines the once a year chinese language convention on Biometric reputation (Sinobiometrics 2005).

The 32 revised complete papers have been rigorously reviewed and chosen from a hundred thirty submissions. The papers handle the issues of computerized and trustworthy authentication of people in face, iris, fingerprint, palmprint, speaker, writing and different biometrics, and give a contribution new principles to analyze and improvement of trustworthy and useful options for biometric authentication.

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Read Online or Download Advances in Biometric Person Authentication: International Wokshop on Biometric Recognition Systems, IWBRS 2005, Beijing, China, October 22-23, 2005. Proceedings PDF

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Additional info for Advances in Biometric Person Authentication: International Wokshop on Biometric Recognition Systems, IWBRS 2005, Beijing, China, October 22-23, 2005. Proceedings

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Rodriguez: Target Dependent Score Normalization Techniques and Their Application to Signature Verification, Proc. International Conference on Bioinformatics and its Applications (ICBA), LNCS 3072, pp. 498-504, Dec. 2004. 4. C. Barras, J. L. Gauvain: Feature and Score Normalization for Speaker Verification of Cellular Data, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vol. II, pp. 49-52, Hong Kong, Apr. 2003. 38 Fei Yang et al. 5. C. Sanderson, K. K. Paliwal: Likelihood Normalization for Face Authentication in Variable Recording Conditions, Proc.

1 times longer than that of AdaBoost. It should also be noted that though the face images are normalized manually in this paper, the work in [21] proved the robustness of non-redundant features against the mis-alignment of automatic face detection system. We aim to prove the tolerance of our system against the localized in the future. Currently, we are working on designing an adaptive TMI determination algorithm to improve the proposed boosting algorithm further. Reference 1. Y. Freund and R. Schapire, "A decision-theoristic generalization of on-line learning and an application to boosting," Journal of Computer and System Sciences, vol.

Haitao Wang, Hong Wei and Yangsheng Wang. Face Representation under Different Illumination Conditions. Proceeding of ICME, 2003. 9. Schwartz. General illumination correction and its application to face normalization. Proceeding of AMFG, 2003. 10. Jaepil Ko, Eunju Kim and Hyeran Byun. A simple illumination algorithm for face recognition. Proceeding of PRICAI, 2002. cn 2 Computer College, Harbin Institute of Technology, Harbin, 150001, China 3 Graduate School of Chinese Academy of Sciences, Beijing, 100039, China Abstract.

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Advances in Biometric Person Authentication: International Wokshop on Biometric Recognition Systems, IWBRS 2005, Beijing, China, October 22-23, 2005. Proceedings by Matti Pietikäinen, Abdenour Hadid (auth.), Stan Z. Li, Zhenan Sun, Tieniu Tan, Sharath Pankanti, Gérard Chollet, David Zhang (eds.)


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