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) was once held in Guangzhou, China in December 2004. The convention this yr was once aimed toward selling the overseas trade of rules and supplying a chance for holding abreast of the newest advancements in biometric algorithms, platforms, and purposes. the first Biometrics Verification pageant (BVC) on face, iris, and fingerprint reputation used to be additionally carried out along with the convention. This publication consists of seventy four papers awarded 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 a hundred and forty submissions and 14 have been invited. The papers not just provided fresh technical advances, but additionally addressed matters in biometric approach layout, standardization, and purposes. incorporated one of the invited have been 4 function papers at the principles and algorithms of the best-performing biometric engines, that have been both pageant winners on the Face Authentication try (FAT) 2004 or the Fingerprint Verification festival (FVC) 2004, or they have been the best-performing iris and palmprint acceptance algorithms. The papers have been complemented by way of 5 keynote lectures on biometrics, and face, fingerprint, and iris authentication and multimodal fusion via Arun Ross (West Virginia collage) and Anil okay. Jain (Michigan nation 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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Extra info for Advances in Biometric Person Authentication: 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004. Proceedings
In the former case the benefits derive from pooling the opinions of individual intra-modal experts. In the latter, complementary biometric information is brought to bear on the personal identity authentication problem. The issues involved in multiple biometric expert fusion and its potential will be discussed and illustrated on the problem of combining face and voice based identification. Z. Li et al. ): Sinobiometrics 2004, LNCS 3338, p. 26, 2004. © Springer-Verlag Berlin Heidelberg 2004 Performance Evaluation in 1:1 Biometric Engines Ruud M.
The latter is mainly due to variability in the way a subject presents the real-world biometric for sampling. This variability is much higher from one sampling to the next as compared to (say) the variability for authentication methods like password entry, where the error is generally only due to input (typing) error. , two impressions of left index finger of John Doe), the similarity score rarely reflects a perfect match score. , an impression of left index of John Doe and an impression of left index finger of Jane Doe) the similarity score rarely reflects the lowest possible score.
Estimates of these unmeasurable error rates are, of course, are only possible to estimate with either tacit or explicit modelling of the enemy population. The error conditions that are easy to detect are a false reject and a false positive, and therefore the FRR and FPR estimates are more meaningful estimates of the true false rejects and positives. Another main problem with both technology, but more so with scenario evaluations, is that such tests are not “double blind” tests as used in drug discovery .