Abstract
The pattern of blood vessels of a hand to build a biometric system will be presented in the article. Being a unique feature this pattern is impossible to be forged. Acquisition of a given biometrics will be described. The method to improve contrast of the input image based on three stages: the image histogram equalization, a smoothing operation of the filter and image normalization will be presented. The feature extraction method based on the two-dimensional density function will be shown. The location of blood vessels method based on the nearest neighbour matching method will be discussed. This paper contains a comparison of available in the scientific literature common methods used in the process of creating the biometric system based on the distribution of blood vessels in the hand.
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Kubanek, M., Smorawa, D., Holotyak, T. (2015). Feature Extraction of Palm Vein Patterns Based on Two-Dimensional Density Function. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_10
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DOI: https://doi.org/10.1007/978-3-319-19369-4_10
Publisher Name: Springer, Cham
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