Abstract
This paper presents a biometric system implementing identity verification on the basis of the geometry of a hand and palm-prints. Hidden Markov Models were used here as teaching and verifying tools. The paper includes suggestions of our own algorithms as well as hand features extraction methods and their specific coding for Hidden Markov Models. The obtained results show that human hand carries a lot of useful information and appropriately modified can become an interesting proposal among biometric systems, particularly carrying out the verification process with a limited number of users.
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Kubanek, M., Smorawa, D., Adrjanowicz, L. (2013). Users Verification Based on Palm-Prints and Hand Geometry with Hidden Markov Models. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38610-7_26
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DOI: https://doi.org/10.1007/978-3-642-38610-7_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38609-1
Online ISBN: 978-3-642-38610-7
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