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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Bobulski, J.: Acces control system using face image. Control and Cybernetics 41(3), 691–703 (2012)
Bobulski J.: A hybrid method for face detection. Pomiary Automatyka Kontrola, 1498–1500 (December 2010)
Shyr Wu, K., Chun Lee, J., Ming Lo, T., Chin Chang, K., Ping Chang, C.: A Secure Vein Recognition System. The Journal of Systems and Software, 2870–2876 (2013)
Miura, N., Nagasaka, A., Miyatake, T.: Extraction of Finger Vein Patterns Usng Maxmum Curvature Points in Image Profiles. In: Conference on Machine Vision Applicationa (2005)
Zhou, Y., Liu, Y., Feng, Q., Yang, F., Huang, J., Nie, Y.: Palm-Vein Classification Based on Principal Orientation Features (2014)
Al-Juboori, A.M., Bu, W., Wu, X., Zhao, Q.: Palm Vein Verification Using Multiple Features and Locality Preserving Projections. The Scientific World Journal (2014)
Kang, W., Liu, Y., Wu, Q., Yue, X.: Contact-Free Palm-Vein Recognition Based on Local Invariant Features (2014)
Park, K.R.: Finger Vein Recognition by Combining Global and Local Features Based on SVM. Computing and Informatic 30, 295–309 (2011)
Wang, L., Graham, G., Cho, D.S.Y.: Minutiae feature Analysis for Infrared Hand Vein Pattern Biometrics. The Journal of The Pattern Recognition Society 41, 920–929 (2007)
Kubanek, M., Smorawa, D., Adrjanowicz, L.: 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.) ICAISC 2013, Part II. LNCS (LNAI), vol. 7895, pp. 275–285. Springer, Heidelberg (2013)
Sony, M., Gupta, S., Rao, M.S., Gupta, P.: A New Vein Pattern-Based Verification System. International Journal of Computer Science and Information Security 8(11), 58–63 (2010)
Rajalakshmi, M., Rengaraj, R.: Biometric Authentification Using Near Infrared Images of Palms Dorsal Vein Patterns. International Journal of Advanced Engineering Technology 2(14), 384–389 (2011)
Kavitha, R., Flower, L.: Localization of Palm Dorsal Vein Pattern Using Image Processing for Automated Intra Venous Drug Needle Insertion. International Journal of Engieering Science and Technology 3(16), 4833–4838 (2011)
Pal, M.M., Jasutka, W.R.: Implementation of Hand Vein Structure Authentification Based System. Bioinfo Computer Engineering 2(11), 19–21 (2011)
Nandini, C., Ashwini, C., Aparna, M., Ramani, N., Kini, P., Sheeba, K.: Biometric Authentication by Dorsal Hand Vein Pattern. International Journal of Engineering and Technology 2(15), 837–840 (2012)
Rajankar, V.A.S.O.: Dorsal Hand Vein Biometry by Independent Component Analysis. International Journal on Computer Science and Engineering 4(17), 1338–1344 (2012)
Sathish, G., Saravanan, S., Narmadha, S., Maheswari, S.U.: Personal Authentication System Using Hand Vein Biometric. Computer Technology and Applications 3(11), 383–391 (2012)
Zhang, X.H.: Feature Extraction of Hand Vein Patterns Based on Ridgelet Transform and Local Interconnection Structure Neural Network. Intelligent Computing in Signal Processing and Pattern Recognition, 870–875 (2006)
Moffette, O.: Extraction des Informations Nutritionnelles D’une Etiquette Alimentaire Par Vision Artificielle, Ecole de Technologie Superieure (2011)
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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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