Báo cáo hóa học: "Research Article Intersubject Differences in False Nonmatch Rates for a Fingerprint-Based Authentication System"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Intersubject Differences in False Nonmatch Rates for a Fingerprint-Based Authentication System | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 896383 9 pages doi 2009 896383 Research Article Intersubject Differences in False Nonmatch Rates for a Fingerprint-Based Authentication System Jeroen Breebaart Ton Akkermans and Emile Kelkboom Philips Research HTC 34 MS61 5656 AE Eindhoven The Netherlands Correspondence should be addressed to Jeroen Breebaart Received 4 September 2008 Accepted 7 July 2009 Recommended by Jonathon Phillips The intersubject dependencies of false nonmatch rates were investigated for a minutiae-based biometric authentication process using single enrollment and verification measurements. A large number of genuine comparison scores were subjected to statistical inference tests that indicated that the number of false nonmatches depends on the subject and finger under test. This result was also observed if subjects associated with failures to enroll were excluded from the test set. The majority of the population about 90 showed a false nonmatch rate that was considerably smaller than the average false nonmatch rate of the complete population. The remaining 10 could be characterized as goats due to their relatively high probability for a false nonmatch. The image quality reported by the template extraction module only weakly correlated with the genuine comparison scores. When multiple verification attempts were investigated only a limited benefit was observed for goats since the conditional probability for a false nonmatch given earlier nonsuccessful attempts increased with the number of attempts. These observations suggest that 1 there is a need for improved identification of goats during enrollment . using dedicated signal-driven analysis and classification methods and or the use of multiple enrollment images and 2 there should be alternative means for identity verification in the biometric system under test in case of two subsequent false .

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