Download PDF by Arun Ross, Anil K. Jain (auth.), Stan Z. Li, Jianhuang Lai,: Advances in Biometric Person Authentication: 5th Chinese

By Arun Ross, Anil K. Jain (auth.), Stan Z. Li, Jianhuang Lai, Tieniu Tan, Guocan Feng, Yunhong Wang (eds.)

ISBN-10: 3540240292

ISBN-13: 9783540240297

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 used to be geared toward selling the foreign alternate of principles and supplying a chance for holding abreast of the newest advancements in biometric algorithms, platforms, and functions. the first Biometrics Verification festival (BVC) on face, iris, and fingerprint acceptance used to be additionally carried out along side the convention. This publication consists of seventy four papers provided 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 offered fresh technical advances, but in addition addressed matters in biometric procedure layout, standardization, and functions. 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 try (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 through 5 keynote lectures on biometrics, and face, fingerprint, and iris authentication and multimodal fusion through Arun Ross (West Virginia collage) and Anil ok. 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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Additional resources for Advances in Biometric Person Authentication: 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004. Proceedings

Example text

The FMR is the area of the hatched region on the right under the non-match (mismatch) score density curve the proportion of the time when is indeed true: Similarly, Unfortunately, for biometric applications, the non-match score distribution and the match score distribution in Figure 1 always overlap, so it is not possible to choose a threshold for which both FMR = 0 and FNMR = 0. Therefore the threshold T in decision rule needs to be selected in such a way that the biometric system operates in an “optimal” fashion.

The FMR is the area of the hatched region on the right under the non-match (mismatch) score density curve the proportion of the time when is indeed true: Similarly, Unfortunately, for biometric applications, the non-match score distribution and the match score distribution in Figure 1 always overlap, so it is not possible to choose a threshold for which both FMR = 0 and FNMR = 0. Therefore the threshold T in decision rule needs to be selected in such a way that the biometric system operates in an “optimal” fashion.

7 is a plot of (11), incorporating (4) and (8) as its terms, and it shows an excellent fit between theory (binomial extreme value sampling) and data. 33 illustrates the extreme improbability that the phase sequences for two different irises might disagree in fewer than a third of their bits. This suggests that in order to identify people by their iris patterns with high confidence, we need to demand only a very forgiving degree of match (say, Recognising Persons by Their Iris Patterns 6 19 Uniqueness of Failing the Test of Statistical Independence The statistical data and theory presented above show that we can perform iris recognition successfully just by a test of statistical independence.

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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.)


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