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Hand geometry recognition is a biometric approach to automatically recognize individuals based on the unique geometric features of the hand.
Background
Hand geometry biometric systems utilize features such as finger length, finger width, finger thickness, finger area, and palm width to perform personal authentication. These systems have gained immense popularity and public acceptance as evident from their extensive deployment for applications in access control, time attendance applications and several other verification tasks. Major advantages of hand geometry systems include simple imaging requirements (features can be extracted from low-resolution hand images), the ability to operate under harsh environmental conditions (immune to dirt on the hand and other external factors), and low data-storage requirements. In addition, hand geometry acquisition and verification is extremely fast. These distinct advantages over other biometrics helped...
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Duta N (2009) A survey of biometric technology based on hand shape. Pattern Recogn 42(11):2797–2806
Jain AK, Ross A, Pankanti S (1999) A prototype hand geometry-based verification system. Proceedings of the AVBPA, Washington DC, pp. 166–171, Mar 1999
Sanchez-Reillo R, Sanchez-Avila C, Gonzalez- Macros A (2000) Biometric identification through hand geometry measurements. IEEE Trans Pattern Anal Mach Intell 22(10):1168–1171
Sidlauskas DP, Tamer S (2008) Hand geometry recognition. In Jain AK, Flynn P, Ross A (eds) Handbook of Biometrics. Springer, New York
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© 2011 Springer Science+Business Media, LLC
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Zhang, D., Kanhangad, V. (2011). Hand Geometry Recognition. In: van Tilborg, H.C.A., Jajodia, S. (eds) Encyclopedia of Cryptography and Security. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5906-5_878
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DOI: https://doi.org/10.1007/978-1-4419-5906-5_878
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5905-8
Online ISBN: 978-1-4419-5906-5
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