Abstract
Fingerprint Recognition Technologies are becoming more popular to be used as a representative of biometrics nowadays. As all electronics devices tends to be smaller and smaller, people pays more attention to “linear sensor” method. The most important factor for securing the reliable Fingerprint Recognition Technology is pursuing the enhancement of the captured fingerprint image from sensors. This paper presents an algorithm that uses Image Estimation and Reconstruction Method in order to embody precisely the image captured from Linear Sensors. The proposed algorithm is verified theoretically and experimentally that the image can be perfectly reconstructed from the fingerprint on the linear sensor even though the finger position is displaced vertically, horizontally, and/or rotationally. Also this system demonstrates much higher recognition and authentication rates than any other existing systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Mario, D., Maltoni, D.: Direct Gray-Scale Minutiae Detection In Fingerprints. IEEE Trans. Pattern Analysis and Machine Intelligence 19(1), 27–39 (1997)
Hong, L., Wan, Y., Jain, A.: Fingerprint Image Enhancement: Algorithm and Performance Evaluation. IEEE Trans. Pattern Analysis and Machine Intelligence 20(8), 777–789 (1998)
Jain, A.K., Hong, L., Bolle, R.: On-Line Fingerprint Verification. IEEE Trans., Pattern Analysis and Machine Intelligence 19(4), 302–313 (1997)
Jain, A.K., Prabhakar, S., Hong, L., Pankanti, S.: Filterbank-based fingerprint matching. IEEE Trans. on Image Processing 9(5), 846–859 (2000)
Nalini, K., Jain, A.K.: A Real-Time Matching System for Large Fingerprint Database. IEEE Trans. Pattern Analysis and Machine Intelligence 18(18), 799–813 (1996)
Jiang, X., Yau, W.-Y.: Fingerprint Minutiae Matching Based on the Local and Global Structures. In: International Conference on Pattern Recognition (ICPR 2000), vol. 2 (18), pp. 1038–1042 (September 2000)
Maeda, T., Matsushida, M., Sasakawa, K.: Identification Algorithm Using a Matching Score Matrix. IEICE Trans. INF. & SYST. E-84-D(7), 819–824 (2001)
Luo, X., Tian, J., Wu, Y.: A Minutia Matching algorithm in Fingerprint Verification. In: International Conference on Pattern Recognition (ICPR 2000), vol. 4(18), pp. 4833–4841 (September 2000)
Stosz, J.D., Alyea, L.A.: Automated Systems for Fingerprint Authentication Using Pores and Ridge Structure. In: Proceedings of SPIE, Automatic Systems for the Identification and Inspection of Humans (SPIE), San Diego, vol. 2277, pp. 210–223 (1994)
Kim, W.-S., Yoo, W.-H.: A Layered Fingerprint Method. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 702–709. Springer, Heidelberg (2005)
Kim, W.-S., Yoo, W.-H.: A Method For Acquiring Fingerprint by Linear Sensor. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3684, pp. 410–416. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, WS., Yoo, WH., Park, JH., Kim, BK. (2006). An Enhanced Estimation Algorithm for Reconstructing Fingerprint Strip Image. In: Won, D.H., Kim, S. (eds) Information Security and Cryptology - ICISC 2005. ICISC 2005. Lecture Notes in Computer Science, vol 3935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11734727_6
Download citation
DOI: https://doi.org/10.1007/11734727_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33354-8
Online ISBN: 978-3-540-33355-5
eBook Packages: Computer ScienceComputer Science (R0)