By Arun Ross, Anil K. Jain (auth.), Stan Z. Li, Jianhuang Lai, Tieniu Tan, Guocan Feng, Yunhong Wang (eds.)
Following the former 4 annual meetings, the fifth chinese language convention on Biometrics acceptance (Sinobiometrics 2004) used to be held in Guangzhou, China in December 2004. The convention this yr was once aimed toward selling the overseas alternate of principles and supplying a chance for maintaining abreast of the newest advancements in biometric algorithms, structures, and purposes. the first Biometrics Verification pageant (BVC) on face, iris, and fingerprint reputation was once additionally carried out along side the convention. This e-book consists of seventy four papers offered at Sinobiometrics 2004, contributed through researchers and business practitioners from Korea, Japan, Singapore, Hong Kong, France, united kingdom, US, in addition to China. of those, 60 papers have been chosen from one hundred forty submissions and 14 have been invited. The papers not just awarded contemporary technical advances, but additionally addressed concerns in biometric procedure layout, standardization, and purposes. incorporated one of the invited have been 4 characteristic papers at the principles and algorithms of the best-performing biometric engines, that have been both pageant winners on the Face Authentication attempt (FAT) 2004 or the Fingerprint Verification festival (FVC) 2004, or they have been the best-performing iris and palmprint attractiveness algorithms. The papers have been complemented by means of 5 keynote lectures on biometrics, and face, fingerprint, and iris authentication and multimodal fusion by way of Arun Ross (West Virginia college) and Anil okay. Jain (Michigan kingdom University), Josef Kittler (University of Surrey), John Daugman (University of Cambridge), Raffaele Cappelli (University of Bologna), and Stan Z. Li (Chinese Academy of Sciences).
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Additional resources for Advances in Biometric Person Authentication: 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004. Proceedings
Section 5 introduces the concept of computing confidence intervals for the error estimates. In Section 6 we briefly overview the system performance tradeoffs in the context of positive authentication and relate them to the underlying biometric match engine accuracies. Z. Li et al. ): Sinobiometrics 2004, LNCS 3338, pp. 27–46, 2004. M. K. Ratha, and S. Pankanti type of testing methodologies. Section 8 provides a quick summary of the state of the art of various 1:1 biometric identifiers. Finally, in Section 9, we present conclusions and directions for future research.
M. K. Ratha, and S. Pankanti specified by choosing FMR or FNMR since the threshold is a number that is only meaningful for a particular implementation of a particular matcher. Fig. 3. The ROC curve expresses the tradeoff between FMR and FNMR There are a number of variations of ROCs that are used for expressing the same information. , or the axes can be inverted by plotting correct rates instead of error rates. In addition, quite often one or both of the probabilities (FMR and FNMR) in the ROC is plotted on a logarithmic scale.
Acta Ophthalmologica 63 (1985) 1-8 4. : Photophysics and photochemistry of melanin. In Melanin: Its Role in Human Photoprotection. Valdenmar (1995), 11-23 5. : Elements of Information Theory. Wiley: New York (1991) 6. : Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. J. Opt. Soc. Amer. A 2 (1985) 1160-1169 7. : Complete discrete 2D Gabor transforms by neural networks for image analysis and compression. IEEE Trans.
Advances in Biometric Person Authentication: 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004. Proceedings by Arun Ross, Anil K. Jain (auth.), Stan Z. Li, Jianhuang Lai, Tieniu Tan, Guocan Feng, Yunhong Wang (eds.)