2016
DOI: 10.1016/j.patrec.2015.12.013
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50 years of biometric research: Accomplishments, challenges, and opportunities

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Cited by 539 publications
(302 citation statements)
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“…of a biometric system. Existing individuality methods use feature representation or match score, but encounter lack of robust statistical models and entropy functions to accurately characterize intra-and inter-subject variations [4]. All in all, genotypic (genetically determined traits, e.g., DNA), phenotypic (traits determined through the interaction of genotype, development, and environment, e.g., fingerprint), and behavioral (traits determined by human activities, e.g., signature) biometric characteristics are high, medium and low in their uniqueness strength, respectively [2].…”
Section: Core Research Challenges In Biometricsmentioning
confidence: 99%
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“…of a biometric system. Existing individuality methods use feature representation or match score, but encounter lack of robust statistical models and entropy functions to accurately characterize intra-and inter-subject variations [4]. All in all, genotypic (genetically determined traits, e.g., DNA), phenotypic (traits determined through the interaction of genotype, development, and environment, e.g., fingerprint), and behavioral (traits determined by human activities, e.g., signature) biometric characteristics are high, medium and low in their uniqueness strength, respectively [2].…”
Section: Core Research Challenges In Biometricsmentioning
confidence: 99%
“…Unlike password or token-based systems, biometric systems-being inherently probabilistic endeavordo not produce perfect match decision [6]. The imperfect accuracy of biometric systems occurs mainly because two samples of the same biometric trait belonging to the same person are not exactly same owing to change in user's trait (e.g., bruises and ageing), user's interaction with the sensor (e.g., pose), imperfect imaging condition (e.g., sensor noise), ambient conditions (e.g., illumination), feature representation limitation (i.e., failing to retain invariances and discriminatory information in different patterns from the same class), and poor matching ability [4]. Thus, a biometric system makes two types of errors: (i) False Match or False Accept Rate (FMR or FAR) -mistaking biometric samples from two different persons to be from the same person; (ii) False NonMatch or False Reject Rate (FNMR or FRR) -mistaking two biometric samples from the same person to be from two different persons.…”
Section: Do Biometric Traits Change Over Time?mentioning
confidence: 99%
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