Multimodal Hand-Palm Biometrics

Authors:
Ryszard S. Choraś;Michał Choraś
Affiliations:
Image Processing Group, Institute of Telecommunications, University of Technology & Life Sciences, S. Kaliskiego 7, 85-791 Bydgoszcz, Poland;Image Processing Group, Institute of Telecommunications, University of Technology & Life Sciences, S. Kaliskiego 7, 85-791 Bydgoszcz, Poland
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

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Abstract

Hand geometry based biometric verification has proven to be the most suitable and acceptable biometrics trait for medium and low security applications. Hereby a new approach for the personal identification using hand images is presented. Two kinds of biometric indicators are extracted from the low-resolution hand images; (i) palmprint features, which are composed of principal lines, wrinkles, minutiae, delta points, etc., and (ii) hand geometry features which include area/size of palm, length and width of fingers. In the article we focus on feature extraction methods applied to one-sensor multimodal hand-palm biometrics system.