Survey on Fingerprint Enhancement Techniques

In the field of security, many Automatic Fingerprint Identification System (AFIS) have been developed. One of the indices for evaluating the security of such system is the quality of the fingerprint image and the efficiency of the enhancement algorithm used. The main aim of the paper is to present a survey on traditional and classical fingerprint image enhancement techniques. The performance of the enhancement algorithms are evaluated on the basis of PSNR and MSE values. Based on the above measures, the most efficient enhancement algorithm is chosen.

[1]  Mehdi Keshavarz Bahaghighat,et al.  Fingerprint image enhancement using GWT and DMF , 2010, 2010 2nd International Conference on Signal Processing Systems.

[3]  Marco Furini,et al.  International Journal of Computer and Applications , 2010 .

[4]  Sugata Ghosal,et al.  Learning partitioned least squares filters for fingerprint enhancement , 2000, Proceedings Fifth IEEE Workshop on Applications of Computer Vision.

[5]  Josef Bigün,et al.  Local Features for Enhancement and Minutiae Extraction in Fingerprints , 2008, IEEE Transactions on Image Processing.

[6]  Anto Paul,et al.  A Study on Image Enhancement Techniques for Fingerprint Identification , 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

[7]  Iwasokun Gabriel Babatunde,et al.  A Multi-Level Model for Fingerprint Image Enhancement , 2012 .

[8]  K. Hemachandran,et al.  A Review on Image enhancement of fingerprint using Directional filters , 2011 .

[9]  Himanshu Aggarwal,et al.  A Comprehensive Review of Image Enhancement Techniques , 2010, ArXiv.