FINGERCODE FOR FINGERPRINT RECOGNITION IN WAVELET TRANSFORM DOMAIN

JuCheng Yang, JinWook Shin, BungJun Min, Bin Yu, DongSun Park

2006

Abstract

FingerCode has been an effective representation for both the local and global information in fingerprints using their reference points. Wavelet transform is known to be a powerful tool for fingerprint enhancement and features extraction. In this paper, a novel method for fingerprint recognition using the FingerCode in wavelet transform domain is proposed. The proposed method includes a new reference point detection method in sub-images of the wavelet transform. Since the proposed method can be used for both feature extraction and pre-processing, conventional pre-processing algorithms can be eliminated from recognition steps and hence, it lowers the overall computational complexity of the recognition. Experimental results show that the proposed method is more accurate and reliable than a traditional FingerCode method.

References

  1. Jang X. and Yau W.Y., 2000. in Proc. Int. Conf. on Pattren Recognition(15th), Vol.2,pp. 1024-1045.
  2. Liu J., Huang Z., and Chan K., 2000. in Proc. Int. Conf. on Image Processing, Vol. 2, pp 427-430.
  3. Jain, A.K., Prabhakar, S. Lin H., 1999. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, Issue 4, April, pp348 - 359.
  4. Jain A.K., Prabhakar S., Lin H., Pankanti, S., 1999. IEEE Conf. on Computer Vision and Pattern Recognition, Vol. 2, pp23-25.
  5. Jain A.K., Prabhakar S., Hong L., Pankanti S., 2000. IEEE Transactions on Image Processing, vol9, no.5, pp 846-859.
  6. Sha L.F., Zhao F, Tang X.O., 2003. International Conference on Image Processing, Vol. 2, pp:II-895-8, vol.3.
  7. Selvaraj H., Arivazhagan S., Ganesan L., 2003. Fifth International Conference on Computational Intelligence and Multimedia Applications, 27-30 pp430 - 435.
  8. Tico M., kuosmanen P., and Saarien J., 2001. Electronics Letters, vol.37, no.1, pp.21-22.
  9. Tico M., Immonen E., Ramo P., Kuosmanen P., Saarinen J., 2001. IEEE International Symposium on Circuits and Systems, Vol. 2, pp 21 - 24.
  10. Fung Y.H., Chan Y.H., 2004. “Fingerprint recognition with improved wavelet domain features,” Proceedings of Intelligent Multimedia, Video and Speech Processing, pp: 33 - 36.
  11. Lee W.K., chung J.H., 1997. IEEE International Symposium on Circuits and Systems, vol.2, pp 1201 - 1204.
  12. Mokju M., Abu-Bakar S.A.R., 2004. International Conference on Computer Graphics, Imaging and Visualization, pp149 - 152.
  13. Mallat S., 1998, the book, Academic Press.
  14. Maltoni D., et al., 2003, the book,Springer.
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Paper Citation


in Harvard Style

Yang J., Shin J., Min B., Yu B. and Park D. (2006). FINGERCODE FOR FINGERPRINT RECOGNITION IN WAVELET TRANSFORM DOMAIN . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 161-165. DOI: 10.5220/0001369301610165


in Bibtex Style

@conference{visapp06,
author={JuCheng Yang and JinWook Shin and BungJun Min and Bin Yu and DongSun Park},
title={FINGERCODE FOR FINGERPRINT RECOGNITION IN WAVELET TRANSFORM DOMAIN},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={161-165},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001369301610165},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - FINGERCODE FOR FINGERPRINT RECOGNITION IN WAVELET TRANSFORM DOMAIN
SN - 972-8865-40-6
AU - Yang J.
AU - Shin J.
AU - Min B.
AU - Yu B.
AU - Park D.
PY - 2006
SP - 161
EP - 165
DO - 10.5220/0001369301610165