Fingerprint authentication using Gabor filter based matching algorithm

Person identification and recognition using fingerprints as a biometric authentication is one of the unique, prominent and reliable method of verification processes. The paper presents fingerprint authentication system using filter bank based matching algorithm. The algorithm uses Gabor filter bank to extract features of fingerprints. These features are then compared for identification and recognition of a person. The Euclidian distance is used to compare feature vector of query image with feature vectors of database fingerprints. Two sets of databases FVC2000 and DBIT are used for evaluating the performance and efficiency of the algorithm. The experimental results show that the average efficiency of the algorithm is 82.95% and 89.68% for FVC2000 and DBIT fingerprint databases respectively.

[1]  Anil K. Jain,et al.  Fingerprint Image Enhancement: Algorithm and Performance Evaluation , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  DongSun Park,et al.  Fingerprint Matching Using Global Minutiae and Invariant Moments , 2008, 2008 Congress on Image and Signal Processing.

[3]  Tianzi Jiang,et al.  A modified Gabor filter design method for fingerprint image enhancement , 2003, Pattern Recognit. Lett..

[4]  Quan Pan,et al.  A Gabor filter based fingerprint enhancement algorithm in wavelet domain , 2005, IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005..

[5]  Anil K. Jain,et al.  A Real-Time Matching System for Large Fingerprint Databases , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Hao Yang,et al.  The research of edge detection algorithm for Fingerprint images , 2008, 2008 World Automation Congress.

[7]  Sheng-De Wang,et al.  Fingerprint feature extraction using Gabor filters , 1999 .

[8]  Babu M. Mehtre,et al.  Fingerprint image analysis for automatic identification , 1993, Machine Vision and Applications.

[9]  Shunshan Li,et al.  Image Enhancement Method for Fingerprint Recognition System , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[10]  Sharath Pankanti,et al.  Filterbank-based fingerprint matching , 2000, IEEE Trans. Image Process..

[11]  G. Aguilar,et al.  Multimodal biometric system using fingerprint , 2007, 2007 International Conference on Intelligent and Advanced Systems.

[12]  Wang Yuan,et al.  A Real Time Fingerprint Recognition System Based On Novel Fingerprint Matching Strategy , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.

[13]  Mei Xie,et al.  Fingerprint classification based on genetic programming , 2010, 2010 2nd International Conference on Computer Engineering and Technology.

[14]  G. Aguilar,et al.  Fingerprint Recognition , 2007, Second International Conference on Internet Monitoring and Protection (ICIMP 2007).

[15]  Sharath Pankanti,et al.  Evaluation techniques for biometrics-based authentication systems (FRR) , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[16]  Réda Adjoudj,et al.  Personal Identification by Fingerprints based on Gabor Filters , 2009, CIIA.

[17]  Lawrence O'Gorman,et al.  An approach to fingerprint filter design , 1989, Pattern Recognit..

[18]  Lequan Min,et al.  Robust Designs for Fingerprint Feature Extraction CNN with Von Neumann Neighborhood , 2008, 2008 International Conference on Computational Intelligence and Security.

[19]  Sharath Pankanti,et al.  On the similarity of identical twin fingerprints , 2002, Pattern Recognit..

[20]  Ramandeep Kaur,et al.  A novel method for fingerprint feature extraction , 2010, 2010 International Conference on Networking and Information Technology.

[21]  Arun Ross,et al.  Multibiometric systems , 2004, CACM.

[22]  Hao Guo.  A hidden Markov model fingerprint matching approach , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[23]  Henry O. Nyongesa,et al.  Automatic fingerprint classification system using fuzzy neural techniques , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[24]  M. S. Khalil,et al.  Singular points detection using fingerprint orientation field reliability , 2010 .