Browse > Article

Template Fusion for Fingerprint Recognition  

류춘우 (인하대학교 자동화공학과)
문지현 (인하대학교 자동화공학)
김학일 (인하대 정보통신공학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.2, 2004 , pp. 51-64 More about this Journal
Abstract
This paper proposes an algerian of generating a tuner-template from multiple fingerprint impressions using a data fusion technique for fingerprint enrollment. The super-template is considered as a single fingerprint template which contains most likely true minutiae based on multiple fingerprint images. The proposed algorithm creates the super template by utilizing a recursive Bayesian estimation method (RBEM), which assumes a sequential fingerprint input model and estimates the credibility of the minutiae in previous input templates froma current input template. Consequently. the RBEM assigns a higher credibility to commonly detectable minutiae from several input templates and a lower credibility to rarely found minutiae from other input templates. Likewise, the RBEM is able to estimate a credibility of the minutia type (ridge ending or bifurcation). Preliminary experiments demonstrate that, as the number of fingerfrint images increases, the performance of recognition can be improved while maintaining the processing time and the size of memory storage for tile super-template almost constant.
Keywords
Super-template; Multiple impressions; Fingerprints;
Citations & Related Records
연도 인용수 순위
  • Reference
1 L. C. Jain, U. Halici, I. Hayashi, S. B. Lee and S. Tsutsui, IntelligentBiometric Techniques in Fingerprint and Face Recognition, CRC Press, pp. 4-15, 1999
2 김학일, 안도성, 류춘우, 지문인식, 한국정보통신교육원, pp. 59-71, 2002
3 D. Maio and D. Maltoni, 'Direct Gray-Scale Minutiae Detection In Fingerprints,' IEEE Trans. PAMI, vol. 19, no. 1, pp. 27-39, January 1997   DOI   ScienceOn
4 L. Hong, Y. Wan and A. Jain, 'Fingerprint Image Enhancement: Algorithm and Performance Evaluation,' IEEE Trans. PAMI, vol. 20, no. 8, pp. 777-789, 1998   DOI   ScienceOn
5 Q. Xiao and H. Raafat, 'Fingerprint image postprocessing: a combined statistical and structural approach,' Pattern Recognition, vol. 24, no. 10, pp. 985-992, 1991   DOI   ScienceOn
6 D. Maio and D. Maltoni, 'Neural Network Based Minutiae Filtering in Fingerprints,' Proc. 14th ICPR, Brisbane (Australia), pp. 1654-1658, August 1998   DOI
7 A. Jain, L. Hong and R. Bolle, 'On-Line Fingerprint Verification,' IEEE Trans. PAMI, vol. 19, no. 4, pp. 302-314, Apriol 1997   DOI   ScienceOn
8 D. Ahn, C. Ryu and H. Kim, 'Removal of False Minutiae based on Structural and Directional Attributes in Fingerprint Recognition,' Proc. 3rd International Workshop on Information Security Applications, pp. 355 367, 2002
9 A. Farina, Z.M. Kovacs-Vajna and Alberto Leone, 'Fingerprint minutiae extraction from skeletonized binary images,' Pattern Recognition, vol.32, no. 4, pp. 877-889, 1999   DOI   ScienceOn
10 A. K. Jain and A. Ross, 'Fingerprint Mosaicking,' Proc. Int'l Conf. on Acoustic Speech and Signal Processing, vol 4. pp. 4064-4067, 2002   DOI
11 D. Maio, D. Maltoni, R. Cappelli, J.L. Wayman and A. K.Jain, 'FVC2002: Second Fingerprint Verification Competition,' Proc. 16th Int'l Conf. Pattern Recognition, vol. 3, pp. 811-814, 2002   DOI
12 FVC2002 Web site: http://bias.csr.unibo.it/fvc2002
13 C. Ryu and H. Kim, 'A Fast Fingerprint Matching Algorithm Using Parzen Density Estimation,' ICISC 2002, LNCS 2587, pp. 525-533, 2003
14 K. A. Toh, W. Y. Yau, X. D. Jiang, T. P. Chen, J. Lu and E. Lim, 'Minutiae Data Synthesis for Fingerprint Identification Application,' Proc. IEEE Int'l Conf. Image Processing, 2001   DOI
15 X. Jiang and W. Ser, 'Online Fingerprint Template Improvement,' IEEE Trans. PAMI, vol. 24, no. 8, pp. 1121-1126, August 2002   DOI   ScienceOn
16 D. Lee, K. Choi, S. Lee and J. Kim, 'Fingerprint Fusion Based on Minutiae and Ridge for Enrollment,' AVBPA 2003, LNCS 2688, pp. 478-485, 2003
17 A. Jain, U. Uludag and A. Ross, 'Biometric Template Selection: A Case Study in Fingerprints,' AVBPA 2003, LNCS 2688, pp. 335-342, 2003
18 K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd Ed., pp. 389-390, 1990
19 W. Choi, C. Ryu and H. Kim, 'Navigation of a Mobile Robot using Mono-Vision and Mono-Audition,' Proc. IEEE SMC, vol. 4, pp. 686-691, 1999   DOI
20 R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd Ed., Prentice-Hall, pp. 644-646, 2002