Abstract
AbstractIn this paper biometric methods for user-centric, contactless and unrestricted access control dedicated for mobile devices are proposed. The major contribution is a novel low computational cost palmprint texture feature extraction method. Contactless biometrics fits into the user-centric paradigm since users do not like to touch acquisition devices. Furthermore, the usage of mobile devices (cellphones, handhelds) for biometrics is interesting both for users and system/service providers (due to low cost, wide acceptance and penetration, mobility and user-friendliness). Our methods can be used in mobile biometrics scenario since mobile end-terminals portfolio has exploded with devices providing greater functionality and usability with more processing power.KeywordsMobile DeviceBiometric SystemFalse Acceptance RateSkin DetectionPalmprint ImageThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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