| 期刊全称 | Biometric Authentication | | 期刊简称 | International ECCV 2 | | 影响因子2023 | Massimo Tistarelli,Josef Bigun,Anil K. Jain | | 视频video | | | 发行地址 | Includes supplementary material: | | 学科分类 | Lecture Notes in Computer Science | | 图书封面 |  | | 影响因子 | Biometric authentication refers to identifying an individual based on his or her distinguishing physiological and/or behavioral characteristics. It associates an individual with a previously determined identity based on that individual s appearance or behavior. Because many physiological or behavioral characteristics (biometric indicators) are distinctive to each person, biometric identifiers are inherently more reliable and more capable than knowledge-based (e.g., password) and token-based (e.g., a key) techniques in differentiating between an authorized person and a fraudulent impostor. For this reason, more and more organizations are looking to automated identity authentication systems to improve customer satisfaction, security, and operating efficiency as well as to save critical resources. Biometric authentication is a challenging pattern recognition problem; it involves more than just template matching. The intrinsic nature of biometric data must be carefully studied, analyzed, and its properties taken into account in developing suitable representation and matching algorithms. The intrinsic variability of data with time and environmental conditions, the social acceptability a | | Pindex | Conference proceedings 2002 |
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发表于 2025-3-21 19:31:21
