The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Fingerprint Image Enhancement Based on a Directional Filter

방향성 필터 뱅크에 기반한 지문영상의 향상

  • 오상근 (경북대학교 영상신호처리연구실) ;
  • 박철현 (경북대학교 영상신호처리연구실) ;
  • 윤옥경 (경북대학교 영상신호처리연구실) ;
  • 이준재 (동서대학교 인터넷공학부) ;
  • 박길흠 (동서대학교 인터넷공학부)
  • Published : 2002.04.01
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Abstract

This paper describes a new method of directional filter-based analysis for fingerprint enhancement. Fingerprint cages can be represented by direction field of regular structure of ridge patterns. The dominant directional component of ridge plays a very important role in pre-processing steps of fingerprint image analysis such as ridge's linking and noise removal for minutiae extraction. A directional filter bank analyzes input image into directional subband images and synthesizes them to the perfectly reconstructed image. In this paper, a new fingerprint enhancement algorithm based on a directional filter bank is proposed. The algorithm decomposes the fingerprint image into subband images in the analysis stage, accomplishes an enhance procedure by processing subband images in the enhance stage and synthesizes them to the enhanced image in the synthesis stage.

본 논문에서는 지문영상의 향상을 위한 방향성 필터링의 새로운 기법을 제안한다. 지문영상은 융선의 규칙적인 열의 방향성 맵으로 구성되어 있으며, 융선의 주방향성은 지문영상의 주요 특징점을 추출하기 위한 융선의 연결이나 잡음의 제거 등 지문영상의 전처리과정에 매우 중요하다. 방향성대역 통과 필터뱅크(Directional Filter Bank ; FB)는 입력영상을 주파수의 성분이 아닌 방향성 성분으로 분해한 다음, 이 대역영상으로부터 원영상을 완전하게 복원하는 필터이다. 본 논문은 DFB를 이용하여 지문영상을 방향성 대역 영상으로 분해하여 이를 처리한 후 복원함으로써 지문영상을 향상시키는 알고리듬을 제안한다.

Keywords

References

  1. A. Jain and R. Bolle, 'On-Line Fingerprint Verification', IEEE Trans. on PAMI, vol. 19, no. 4, PP. 302-314, 1997 https://doi.org/10.1109/34.587996
  2. A. Wahab, S. H. Chin and E. C. Tan, 'Novel Approach to Automated Fuigerprmt Recog-nition', IEE Proc. Vis. Image Signat Process, vol. 145, no. 3, pp. 160-166, 1998 https://doi.org/10.1049/ip-vis:19981809
  3. L. Hong, Y. Wan and A. Jain, 'Fmaerprint Image Enhancement Algorithm and Perfor-mance Evaluation', IEEE Trans. on PAMI, vol. 20, no. 8, PP. 777-789, 1998 https://doi.org/10.1109/34.709565
  4. A. R. Rao, 'A Taxonomy for Texture Description and Identification', New York : Springer-Verlag, 1990
  5. B. G. Sherlock, D. M. Monro and K. Millard, 'Fingerprint Enhancement by Directional Fourier Filtering', IEE Proc. Vis. Image Signal Process, vol. 141, no. 2, PP. 87-94, 1994 https://doi.org/10.1049/ip-vis:19949924
  6. B. M. Mehtre, N. N. Murthy, S. Kapoor and B. Chatterjee, 'Segmentation of Fingerprint Images Using the Directional Image,' Pattern Recognition, vol. 20, no. 4, PP. 429-435, 1987 https://doi.org/10.1016/0031-3203(87)90069-0
  7. B. M. Mehtre and B. Chatterjee, 'Segmentation of Fingerprint Images - A Composite Method', Pattern Recoenition, vol. 22, no. 4, pp. 381-385, 1989 https://doi.org/10.1016/0031-3203(89)90047-2
  8. V. S. Srinivasan and N. N. Murthy, 'Detection of Singular Points in Fingerpint Images', Pattern Recognition, vol. 25, no. 2, pp 139-153, 1992 https://doi.org/10.1016/0031-3203(92)90096-2
  9. R. H. Bamberger and M. J. T. Smith, 'A Filter Bank for the Directional Decomposition of Images : Theory and Design', IEEE Trans. on Signal Processine, vol. 40, no. 4, PP. 882-893, 1992 https://doi.org/10.1109/78.127960
  10. Sang-il Park, M. J. T. Smith and R. M. Mersereau, 'A New Directional Filter Bank For Image Analysis And Classification', IEEE ICASSP, vol. 3, PP. 1417-1420, 1999
  11. R, H. Bamberger, 'The Directional Pilter Bank: A Multirate Filter Bank for the Directional Decomposition of Images', PhD thesis, Georgia Institute of Technotogy, November 1990
  12. A. S. Abutaleb and M. Kamel, 'A Genetic Algorithm for the Estimation of Ridges in Pingerprints', IEEE Trans. on Image Processing, vol. 8, no. 8, PP. 1134-1139, 1999 https://doi.org/10.1109/83.777095
  13. P. P. Vaidyanathan, 'Multirate Systems and Filter Banks'. Prentice Hall. 1993