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

한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

다중해상도 영상정보를 이용한 가보필터 기반 지문영상 개선

Fingerprint Image Enhancement Algorithm Based on Gabor Filter Using Multiresolution Image Information

  • 발행 : 2004.11.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문은 영상의 다중 해상도 정보를 이용하여 지문영상을 개선하는 새로운 방법을 제안한다. 지문영상에서 융선 진행의 변화가 심한 특이영역에서는 화소단위의 필터링을 수행하고, 완만한 변화를 보이는 영역에서는 블록 단위의 필터링을 선택적으로 수행함에 따라, 개선영상의 품질은 향상되며, 연산 량은 감소한다. 실험에 따르면 화소단위의 필터링에 의한 개선 방법에 비하여 연산 속도는 매우 빨라졌으며, 결과영상으로부터의 특징점 인식율의 비교에 따라 개선영상의 품질이 향상됨을 확인할 수 있었다.

A new fingerprint image enhancement algorithm using multiresolution information and Gabor filter is proposed in this paper. The proposed algorithm performs selection of the region in image according to inclusion of singular points and then performs enhancement using Gabor filtering of the region adjusted in its size. Gabor filter using representative direction in the same block is used in the region that the direction of ridge is not changed much, while Gabor filter using pixel based direction is used in the region that the direction of ridge is changed much. This method can reduce processing time for enhancement using Gabor filter and preserve the merit of Gabor filter.

키워드

참고문헌

  1. H. C. Lee and R. E. Gaensslen (Eds.), 'Advances in fingerprint technology,' Elsevier, 1991
  2. E. Newham, 'The biometric report,' New York, NY: SJB Services, 1995
  3. A. Wahab and etc., 'Novel approach to automated fingerprint recognition,' lEE Proc.-Vis. Image Process., vol 145, no.3, June 1998
  4. B.G. Sherlock and etc., 'Fingerprint enhancemnet by directional fourier filtering,'lEE Pro.-Vis. Image Signal Process.,vo1.141, no.2, April 1994
  5. L. Hong and etc., 'Fingerprint image enhancement : algorithm and performance evaluation,' IEEE Trans. on Pattern Anal. and Machine Intell., vol.20, no.8, August 1998
  6. J. G. Daugman, 'Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two dimensional visual cortical filters,' J. Optical Soc. Am., vol. 2, pp. 1, 160-1,169, 1985 https://doi.org/10.1364/JOSAA.2.001160
  7. A. K. Jain and etc., 'Unsupervised texture segmentation using gabor filters,' Pattern Recognition, vol. 24, no. 12, pp. 167-186, 1991
  8. A. Rao, 'A taxonomy for texture description and identification,' New York, NY:Springer-Verlag, 1990
  9. G. Sapiro and etc., 'A b-spline based affine invariant multiscale shape representation,' Proc. Seventh Int'l Conf. Image Analysis and Processing III, pp. 20-22, Monopoli, Italy, 1993
  10. 이준재 등., '다해상도 방향성 정보를 이용한 지문영상의 특이점 추출,' 한국 통신학회 논문지, vol.22 no.5, May 1997
  11. Y. S. Chen and etc., 'A modified fast parallel algorithm for thinning digital patterns,' Pattern Recognition Letters, vol. 7, no.2, pp. 99-106, 1988 https://doi.org/10.1016/0167-8655(88)90124-9
  12. N. Ratha, and etc., 'Adaptive flow orientation based feature extraction in fingerprint images,' Pattern Recognition, vol. 28, no. 11, pp. 1657-1672, 1995 https://doi.org/10.1016/0031-3203(95)00039-3