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. © 2013 Springer-Verlag.
CITATION STYLE
Kubanek, M., Smorawa, D., & Adrjanowicz, L. (2013). Users verification based on palm-prints and hand geometry with hidden Markov models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7895 LNAI, pp. 275–285). https://doi.org/10.1007/978-3-642-38610-7_26
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