Abstract
This paper presents a biometric system implementing identity verification based on palm vein and palm-print. The paper includes suggestions of our own algorithms as well as palm feature extraction methods and their specific coding for verification. The obtained results show that the human palm carries a lot of useful information and, appropriately modified, can become an interesting proposal among biometric systems, also carrying out the verification process with a large number of users.
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References
Kubanek, M., Smorawa, D., Kurkowski, M.: Using facial asymmetry properties and hidden Markov models for biometric authentication in security systems. Lect. Notes Artif. Intell., Part II 8468, 627–638 (2014)
Sarkar, I., Alisherov, F., Kim, T., Bhattacharyya, D.: Palm vein authentication system: a review. Int. J. Control Autom. 3(1), 27–34 (2010)
Deepamalar, M., Madheswaran, M.: An enhanced Palm vein recognition system using multi-level fusion of multimodal features and adaptive resonance theory. Int. J. Comput. Appl. 1(20), 95–101 (2010)
Zhang, H., Hu, D.: A Palm vein recognition system. In: 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA), vol. 1, pp. 285–288 (2010)
Soliman, H., Mohamed, A.S., Atwan, A.: Feature level fusion of Palm veins and signature biometrics. Int. J. Video Image Process. Netw. Secur. IJVIPNS-IJENS 12(1), 28–39 (2012)
Choras, M., Kozik, R.: Contactless palmprint and knuckle biometrics for mobile devices. Pattern Anal. Appl. 15(1), 73–85 (2012)
Choras, M., Kozik, R.: Fast feature extractors for Palmprint biometrics. In: Chaki, N., et al. (eds.) Computer Information Systems—Analysis and Technologies, Communications in Computer and Information Science CCIS, pp. 121–127. Springer (2011)
Fatric, I., Ribaric, S.: Colour-based palmprint verification—an experiment. In: Watteyne, T., Yazidi, A. (eds.) Proceedings of IEEE 14th Mediterranean Electrotechnical Conference, Ajaccio, pp. 890–895 (2008)
Kubanek, M., Smorawa, D., Adrjanowicz, L.: Users verification based on palm-prints and hand geometry with hidden Markov models. Lect. Notes Artif. Intell. 7895, 275–285 (2013)
Bobulski, J.: Selection of parameters of HMM. Meas., Autom., Control 10, 844–846 (2009)
Bobulski, J., Adrjanowicz, L.: Two-dimensional hidden Markov models for pattern recognition. Lect. Notes Artif. Intell., Part I, 7894, 515–523 (2013)
Kubanek, M., Bobulski, J., Adrjanowicz, L.: Characteristics of the use of coupled hidden Markov models for audio-visual Polish speech recognition. Bull. Pol. Acad. Sci.—Tech. Sci. 60(2), 307–316 (2012)
Acknowledgments
Portions of the research in this paper use the CASIA-MS-PalmprintV1 collected by the Chinese Academy of Sciences’ Institute of Automation (CASIA)  [13].
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Kubanek, M., Smorawa, D. (2015). Verification of Identity Based on Palm Vein and Palm-Print. In: Wiliński, A., Fray, I., Pejaś, J. (eds) Soft Computing in Computer and Information Science. Advances in Intelligent Systems and Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-15147-2_12
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DOI: https://doi.org/10.1007/978-3-319-15147-2_12
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