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Fingerprint Enhancement using Improved Orientation and Circular Gabor Filter

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

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

	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}


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.


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