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.
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References
Jain, A., Hong, L., Bolle, R.: On-Line Fingerprint Verification. IEEE Trans.PAMI 19(4), 302–314 (1997)
Ross, A.: Information Fusion in Fingerprint Authentication. Ph.D thesis, Michigan State University (2003)
Zitova, B., Flusser, J.: Image Registration Methods: A Survey. Image and Vision Computing 21(11), 977–1000 (2003)
Foroosh, H., Zerubia, J.B., Berthod, M.: Extension of phase correlation to subpixel registration. IEEE Trans. Image Processing 11(3), 188–200 (2002)
Stone, H.S., Orchard, M.T., Chang, E.-C., Martucci, S.A.: A fast direct Fourierbased algorithm for subpixel registration of images. IEEE Trans. Geosci. Remote Sensing 39(10), 2235–2243 (2001)
Kaiser, J.F.: Nonrecursive Digital Filter Design Using the I0- sinhWindow Function. In: Proc.1974 IEEE Symp.Circuits and Systems, April 1974, pp. 20–23 (1974)
Toh, K.A., Yau, W.Y., Jiang, X.D., Chen, T.P., Lu, J., Lim, E.: Minutiae data synthesis for fingerprint identification applications. In: Proceedings of International Conference on Image Processing, vol. III, pp. 262–265 (2001)
Brown, L.G.: A Survey of Image Registration Techniques. ACM Comput. Surv. 24(4), 325–376 (1992)
Ratha, N.K., Connell, J.H.: Bolle.R.M: Image Mosaicing for Rolled Fingerprint Construction. In: Proc. of 14th International Conference on Pattern Recognition, vol. 2, pp. 1651–1653 (1998)
Hoge, W.S.: Subspace identification extension to the phase correlation method. IEEE Trans. Medical Imaging 22(2), 277–280 (2003)
Reddy, B.S., Chatterji, B.N.: An FFT-based technique for translation, rotation, and scale-invariant image registration. IEEE Trans. Image Processing 5(8), 1266–1271 (1996)
Yau, W.Y., Toh, K.A., Jiang, X.D., Chen, T.P., Lu, J.: On Fingerprint Template Synthesis. In: Proceedings of Sixth International Conference on Control, Automation, Robotics and Vision (ICARCV 2000), Singapore, December 5-8 (2000)
Keller, Y., Averbuch, A., Israeli, M.: pseudo-polar based estimation of large translations rotations and scalings in images. To appear in IEEE Trans. On Image Processing (January 2005)
Miklos, Z., Vajna, K.: A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping. IEEE Trans.PAMI 22(11) (November 2000)
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Zhang, Yl., Yang, J., Wu, Ht. (2005). A Hybrid Swipe Fingerprint Mosaicing Scheme. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_14
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DOI: https://doi.org/10.1007/11527923_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27887-0
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