FPGA Implementation of Fingerprint Recognition System using Adaptive Threshold Technique

作者: Satish S Bhairannawar , Anand R , Raja K B , Venugopal K R

DOI: 10.1109/EESCO.2015.7253994

关键词:

摘要: The real time fingerprint biometric system is implemented using FGPA. In this paper, we propose FPGA Implementation of Fingerprint Recognition System Adaptive Threshold Technique with novel adaptive threshold for each person. images are considered from FVC2004 (DB3_A) and processed to resize size 256X256. DWT applied on only LL coefficients as features fingerprint. value person computed Deviations between two successive samples a person, Average Deviation, Standard Deviation constant. test image database, If the less than then it match else mismatched. It observed that success rate identifying high in proposed method compared existing techniques also device utilization architecture architectures.

参考文章(17)
Phang Chang, Phang Piau, Modified Fast and Exact Algorithm for Fast Haar Transform World Academy of Science, Engineering and Technology, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering. ,vol. 1, pp. 538- 541 ,(2007)
Ricardo José Colom-Palero, Rafael Gadea-Girones, Francisco José Ballester-Merelo, Marcos Martı́nez-Peiro, Flexible architecture for the implementation of the two-dimensional discrete wavelet transform (2D-DWT) oriented to FPGA devices Microprocessors and Microsystems. ,vol. 28, pp. 509- 518 ,(2004) , 10.1016/J.MICPRO.2004.05.003
M.Kr. Mandal, B.F. Cockburn, H. Liao, Efficient architectures for 1-D and 2-D lifting-based wavelet transforms IEEE Transactions on Signal Processing. ,vol. 52, pp. 1315- 1326 ,(2004) , 10.1109/TSP.2004.826175
Javier Galbally, Sebastien Marcel, Julian Fierrez, Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition IEEE Transactions on Image Processing. ,vol. 23, pp. 710- 724 ,(2014) , 10.1109/TIP.2013.2292332
K. Andra, C. Chakrabarti, T. Acharya, A VLSI architecture for lifting-based forward and inverse wavelet transform IEEE Transactions on Signal Processing. ,vol. 50, pp. 966- 977 ,(2002) , 10.1109/78.992147
V. Conti, S. Vitabile, G. Vitello, F. Sorbello, An embedded biometric sensor for ubiquitous authentication AEIT Annual Conference 2013. pp. 1- 6 ,(2013) , 10.1109/AEIT.2013.6666815
Arpita Tewari, A.K. Misra, Testing Manners and Technologies: An Analysis International Journal of Computer Applications. ,vol. 3, pp. 17- 22 ,(2010) , 10.5120/768-1075
Mariano Fons, Francisco Fons, Enrique Cantó, Mariano López, FPGA-based Personal Authentication Using Fingerprints Journal of Signal Processing Systems. ,vol. 66, pp. 153- 189 ,(2012) , 10.1007/S11265-011-0629-3
Sudhir Sawarkar, M.Mani Roja, Fingerprint Verification System – A Fusion Approach computational intelligence. ,(2012)
Radomir S. Stanković, Bogdan J. Falkowski, The Haar wavelet transform: its status and achievements Computers & Electrical Engineering. ,vol. 29, pp. 25- 44 ,(2003) , 10.1016/S0045-7906(01)00011-8