Abstract
This paper presents a texture feature based algorithm for fingerprint matching. Our proposed fingerprint-matching algorithm employs texture features like Correlation, Inverse Difference Moment, and Entropy measure of fingerprint images. The proposed textural features of two fingerprints have been compared to compute the similarities at a given threshold. The algorithm has been tested on the FVC2002 DB2_B database. The proposed algorithm is evaluated using GAR and FAR. GAR of 97.5 % is observed with 8.53% of FAR at a threshold value of 0.9. The proposed textural Feature based matching will enhance GAR at the cost of slightly higher value of FAR and hence gives the best GAR at reasonable value of FAR.
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References
Jain, A.K., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Transactions on Circuits and Systems for Video Technology 14(3), 4–20 (2004)
Wayman, J.L.: Fundamentals of biometric authentication technologies. Int. J. Image Graphics 1(1), 93–113 (2001)
Berry, J., Stoney, D.A.: The history and development of fingerprinting. In: Lee, H.C., Gaensslen, R.E. (eds.) Advances in Fingerprint Technology, 2nd edn., pp. 1–40. CRC Press, Florida (2001)
Federal Bureau of Investigation, The Science of Fingerprints:Classification and Uses, Washington, D.C, U.S. Government Printing Office (1984)
Jain, A.K., Prabhakar, S., Pankanti, S.: Filterbank – based fingerprint matching. IEEE Transactions on Image Processing 9, 846–859 (2000)
Ravichandran, G., Casasent, D.: Advanced in-plane rotation-invariant correlation filters. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(4), 415–420 (1994)
Bazen, A.M., Verwaaijen, G.T.B., Gerez, S.H., Veelenturf, L.P.J., van der Zwaag, B.J.: A Correlation-Based Fingerprint Verication System. In: Proc. Workshop on Circuits Systems and Signal Processing, pp. 205–213 (2000)
Jain, A.K., Ross, A.: Fingerprint Matching Using Minutiae and Texture Features. In: Proceeding of International Conference on Image Processing (ICIP), pp. 282–285 (2001)
Aggarwal, G., Ratha, N.K., Jea, T.-Y., Bolle, R.M.: Gradient based textural characterization of fingerprints. In: Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems (September-October 2008)
Arivazhagan, S., AruIFiora, T.G., Ganesan, L.: Fingerprint Verification using Gabor Co-occurrence Features. In: International Conference on Computational Intelligence and Multimedia Applications, pp. 281–285 (2007)
Yazdi, M., Gheysari, K.: A New Approach for the Fingerprint Classification Based on Gray-Level Co-Occurrence Matrix. International Journal of Computer and Information Science and Engineering (2008)
Haralick, R.M., Shanmugam, K., Dinstein, I.H.: Textural Features for Image Classification. IEEE Transactions on Systems, Man and Cybernetics 3, 610–621 (1973)
Kumar, R., Chandra, P., Hanmandlu, M.: Fingerprint Matching Based on Orientation Feature. Advanced Materials Research Journal 403-408, 888–894 (2011), doi:10.4028/www.scientific.net/AMR.403-408.888
Kumar, R., Chandra, P., Hanmandlu, M.: Fingerprint Singular Point Detection Using Orientation Field Reliability. Advanced Materials Research Journal 403-408, 4499–4506 (2011), doi:10.4028/www.scientific.net/AMR.403-408.4499
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition. Springer (June 2009)
Hong, L., Wan, Y., Jain, A.: Fingerprint Image Enhancement: Algorithm and Performance Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(8) (August 1998)
Fingerprint Verification Competition (FVC), http://bias.csr.unibo.it/fvc2002/
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Kumar, R., Chandra, P., Hanmandlu, M. (2013). Fingerprint Matching Based on Texture Feature. In: Das, V.V., Chaba, Y. (eds) Mobile Communication and Power Engineering. AIM 2012. Communications in Computer and Information Science, vol 296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35864-7_12
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DOI: https://doi.org/10.1007/978-3-642-35864-7_12
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