A New Fingerprint Reference-Point Detection Method Using Cosine Component

코사인 성분을 이용한 새로운 지문 기준점 검출 방법

  • Published : 2007.08.01

Abstract

A new reference point location method using the cosine component is proposed, where an edge map is defined and used to find the reference point. Because all processes used in the proposed method are performed at the block level, less processing time is required. Experimental results show that the proposed method can effectively detect the reference point with higher speed and accuracy for all types of fingerprints.

Keywords

References

  1. K. Karu and A. K. Jain, 'Fingerprint Classification,' Pattern Recognition, vol. 29, No. 3, pp. 389-404, 1996 https://doi.org/10.1016/0031-3203(95)00106-9
  2. A. K. Jain, S. Parbhakak, L. Hong, and S. Pankanti, 'Filterbank Based Fingerprint Matching,' IEEE Trans. Image Processing, vol. 9, No. 5, pp. 846-859, 2000 https://doi.org/10.1109/83.841531
  3. Q. Zhang, K. Huang, and H. Yan, 'Fingerprint Classification Based on Extraction and Analysis of Singularities and Pseudoridges,' in Proc. Pan-Sydney Area Workshop on Visual Information Processing (VIP '01), vol. 11, pp. 83-87, 2001
  4. N. Kitiyanan and J. P. Havlicek, 'Modulation Domain Reference Point Detection for Fingerprint Recognition', 6th IEEE Southwest Symposium on Image Analysis and Interpretation, 28-30 March 2004, pp. 147-151
  5. K. C. Chen, Y. S. Moon, and P. S. Cheng, 'Fast Fingerprint Verification Using Subregions of Fingerprint Images', IEEE Trans. Circuits and Systems for Video Technology, vol. 14, No. 1, pp. 95-101, 2004 https://doi.org/10.1109/TCSVT.2003.818358