Abstract
In this paper, we investigate the performance of two feature extraction techniques on palm prints images. The first is the Local Binary Pattern (LBP) feature extraction technique. The second is the Genetic and Evolutionary Feature Extraction (GEFE) technique. A set of feature extractors are evolved by GEFE and the average and best performance of the extractors are compared to the best scheme of LBP. The techniques are tested on left hand, right hand and combined hand datasets. The results show varying performances between the extraction techniques, but the GEFE approach is promising.
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Jain, A., Flynn, P., Ross, A.A.: Handbook of Biometrics, pp. 90–95. Springer Science and Business Media, New York (2007)
Malčík, D., Drahanský, M.: Anatomy of biometric passports. J. Biomed. Biotechnol. 2012, 1–8 (2012)
Aslam, T.M., Tan, S.Z., Dhillon, B.: Iris recognition in the presence of ocular disease. J. Roy. Soc. Interface 6(34), 415–493 (2009)
Shelton, J., Dozier, G., Bryant, K., Smalls, L., Adams, J., Popplewell, K., Abegaz, T., Woodard, D., Ricanek, K.: Comparison of genetic-based feature extraction methods for facial recognition. In: Proceedings of the 2011 Midwest Artificial Intelligence and Cognitive Science Conference (MAICS-2011), April 16–17, Cincinnati (2011)
Shelton, J., Roy, K., O’Connor, B., Dozier, G.: Mitigating iris-based replay attacks. Int. J. Mach. Learn. Comput. (IJMLC) 4(3), 204–209 (2014)
Shelton, J., Dozier, G., Bryant, K., Small, L., Adams, J., Popplewell, K., Abegaz, T., Woodard, D., Ricanek, K.: Genetic and evolutionary feature extraction via X-TOOLSS. In: The Proceedings of the 8th Annual International Conference on Genetic and Evolutionary Methods (GEM) (2011)
Roy, K., Shelton, J., O’Connor, B., Kamel, M.S.: Multibiometric system using fuzzy level set, and genetic and evolutionary feature extraction. IET Biometrics 4(3), 151–161 (2015)
Shelton, J., Bryant, K., Abrams, S., Small, L., Adams, A., Leflore, D., Alford, A., Ricanek, K., Dozier, G.: Genetic and evolutionary biometric security: disposable feature extractors for mitigating biometric replay attacks. In: The 2012 Proceedings of the 10th Annual Conference on Systems Engineering Research (2012)
Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24, 971–987 (2002)
Fogel, L.J., Owens, A.J., Walsh, M.J.: Artificial Intelligence Through Simulated Evolution. Wiley, Hoboken (1966)
Kennedy, J., Eberhart, R., Shi, Y.: The Particle Swarm. In: Swarm Intelligence, pp. 287–325 (2001)
CASIA-Palmprint. http://biometrics.idealtest.org/
Davis, L.: Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York (1991)
Acknowledgements
This research is based upon work supported by the Science & Technology Center: Bio/Computational Evolution in Action Consortium (BEACON) and the Army Research Office (Contract No. W911NF-15-1-0524).
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Shelton, J., Jenkins, J., Roy, K. (2016). Palm Print Identification and Verification Using a Genetic-Based Feature Extraction Technique. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_8
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DOI: https://doi.org/10.1007/978-3-319-41501-7_8
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