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Fingerprint Enhancement using Improved Orientation and Circular Gabor Filter

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 43 - Number 2
Year of Publication: 2012
Authors:
Avinash Pokhriyal
Praveen Sengar
Sushma Lehri
10.5120/6074-8181

Avinash Pokhriyal, Praveen Sengar and Sushma Lehri. Article: Fingerprint Enhancement using Improved Orientation and Circular Gabor Filter. International Journal of Computer Applications 43(2):7-12, April 2012. Full text available. BibTeX

@article{key:article,
	author = {Avinash Pokhriyal and Praveen Sengar and Sushma Lehri},
	title = {Article: Fingerprint Enhancement using Improved Orientation and Circular Gabor Filter},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {43},
	number = {2},
	pages = {7-12},
	month = {April},
	note = {Full text available}
}

Abstract

In an automatic fingerprint identification system (AFIS), the fingerprint enhancement algorithm is mainly used to improve the visual quality of the input fingerprint image. The factors affecting the quality of an input fingerprint image may be the presence of scars, cuts, pressure variation between the finger and sensor, worn artifacts, and humidity during acquisition process. An enhancement algorithm is applied on the input fingerprint image to improve image quality and to repair broken ridges. This paper proposes a new method of enhancing fingerprint image. The method uses a hybrid approach of a new orientation scheme and a Circular Gabor filter to improve the visual quality of the fingerprint image. The proposed approach is compared to other enhancement algorithms using structural similarity index (SSIM). Experimental results and comparative analysis show that the new method performs better than the previous methods.

References

  • Ahmed Wathik Naji, Abd Rahman Ramli, Rosaliza Ali, Syed Abdul Rahman, Mohd. Liakot Ali, A Segmentation Algorithm based-on Histogram Equalizer For Fingerprint Classification System, ICECE 2002, 26-28 December 2002
  • R. Thai. Fingerprint Image Enhancement and Minutiae Extraction. PhD thesis, School of Computer Science and Software Engineering, 2003.
  • Shlomo Greenberg, Mayer Aladjem, Daniel Kogan, and Itshak Dimitrov. Fingerprint image enhancement using Filtering techniques. In International Conference on Pattern Recognition, pages 322{325. IEEE, 2000.
  • Yuliang He, Jie Tian, Xiping Luo, and Tanghui Zhang. Image enhancement and minutiae matching in fingerprint verification. Pattern Recognition Letters, 24:1349{1360, 2002
  • Sharat S. Chikkerur, Alexander N. Cartwright and Venu Govindaraju, Fingerprint Image Enhancement Using Stft Analysis, Pattern Recogn. 40, 1 (Jan. 2007), 198-211.
  • Lin Hong, Yifei Wan, and Anil Jain, Fingerprint Image Enhance-ment: Algorithm and Performance Evaluation, IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol. 20, No. 8
  • Chaohong Wu, Zhixin Shi, and Venu Govindaraju. Finger-print image enhancement method using directional median filter, in biometric technology for human identification. Proceedings of the SPIE, pages 250{256, 2004.
  • D. Maltoni, D. Maio, A. K. Jain and S. Prabhakar, Handbook of Fingerprint Recognition, Springer, New York, 2009
  • Z. Wang and A. C. Bovik, "A universal image quality index," IEEE Signal Process. Lett. , vol. 9, no. 3, pp. 81–84, Mar. 2002.
  • Z. Wang and A. C. Bovik, Modern Image Quality Assessment. San Rafael, CA: Morgan and Claypool, 2006.
  • Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Process. , vol. 13, no. 4, pp. 600–612, Apr. 2004.