Fingerprint Recognition Using Local Features
DOI:
https://doi.org/10.17533/udea.redin.17933Keywords:
AFIS, FFT, gabor filters, minutiae, recognitionAbstract
Fingerprint recognition is one of the most popular methods used for identification with greater degree of success. The fingerprint has unique characteristics called minutiae, which are points where a curve track finishes, intersect or branches off. Identification systems using fingerprints biometric patterns are called AFIS (Automatic Fingerprint Identification System). In this work a method for Fingerprint recognition is considered using a combination of Fast Fourier Transform (FFT) and Gabor Filters for image enhancement and later a novel method of recognition using local features.
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M. Kuchen, C. Newell. “A Model for fingerprint formation”. Europhys letters. Vol. 68. 2004. pp.141-147. DOI: https://doi.org/10.1209/epl/i2004-10161-2
W. Badler. “Dermatoglyphics”. Science transition. Vol. 9. 1991. pp. 95.
L. Hong, Y. Wang, A. K. Jain. “ i “Fingerprint image enhancement: Algorithm and performance evaluation”. Transactions on PAMI 21. Vol.
1998. pp. 777-789. 4. L. O’Gorman, J. V. Nickerson. “An approach to fingerprint filter design”. Pattern Recognition. Vol. 22. 1989. pp. 29-38. DOI: https://doi.org/10.1016/0031-3203(89)90035-6
S. Greenberg, M. Aladjem, D. Kogan, I. Dimitrov. “Fingerprint image enhancement using filtering techniques”. International Conference on Pattern Recognition. Vol. 3. 2000. pp. 326-329.
G. Z. Yang, P. Burger, D. N. Firmin, S. R. Underwood. “Structure adaptive anisotropic image filtering”. Image and Vision Computing. Vol. 14. 1996. pp. 135-145. DOI: https://doi.org/10.1016/0262-8856(95)01047-5
S. Qian, D. Chen. “Joint time-frequency analysis”. IEEE Signal Processing Magazine. Vol. 16. 1999. pp. 52-67. DOI: https://doi.org/10.1109/79.752051
B. G. Sherlock, D. M. Monro, K. Millard. “Fingerprint enhancement by directional Fourier filtering”. Visual Image Signal Processing. Vol. 141. 1994. pp. 87-94. DOI: https://doi.org/10.1049/ip-vis:19949924
G. Aguilar, G. Sanchez, K. Toscano, M. Nakano, H. Pérez. “Multimodal Biometric System Using Fingerprint” International Conference on Intelligence and Advance Systems. 2007. DOI: https://doi.org/10.1109/ICIAS.2007.4658364
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