A hybrid swipe fingerprint mosaicing scheme

Authors:
Yong-liang Zhang;Jie Yang;Hong-tao Wu
Affiliations:
Inst. of Image Processing & Pattern Recognition, Jiaotong University, Shanghai, P.R. China;Inst. of Image Processing & Pattern Recognition, Jiaotong University, Shanghai, P.R. China;School of Computer Science & Software, Hebei University of Technology, Tianjin, P.R. China
Venue:
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Year:
2005

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Abstract

Due to their very small contact areas and low cost, swipe fingerprint sensors provide the very convenient and reliable fingerprint security solutions and are being increasingly used for mobile phones, PDAs, portable computers and security applications. In this paper, the minimum mean absolute error as the registration criterion is used to find an integer translation shift while the extension of the phase correlation method with singular value decomposition is applied to evaluate a non-integer translation shift. Based on the merits and faults of these two methods, we develop a hybrid swipe fingerprint mosaicing scheme. The proposed scheme succeeds in registering swipe fingerprint frames with small overlap down to 5% of the frame size and improves the mosaicing precision, that is, non-integer translation shift can be directly determined without spatial domain interpolation. Experimental data indicate that our scheme has high reliability and precision and less time consumption, therefore, it is very suitable for the real-time applications.