Abstract
In 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.
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Choraś, M., Kozik, R. (2010). Feature Extraction Method for Contactless Palmprint Biometrics. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_57
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DOI: https://doi.org/10.1007/978-3-642-14831-6_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14830-9
Online ISBN: 978-3-642-14831-6
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