Abstract
Biometrics is one of the most important ways to secure users’ data. It gained popularity due to effectiveness and ease of usage. It was proven that diversified solutions based on measurable traits can guarantee higher security levels than traditional authentication-based (logins and passwords). The most popular are fingerprint and iris (especially in mobile devices). In this work we would like to present our own algorithm connected with finger veins features extraction. At the beginning all details of the device for samples collection are given. In the further part significant information related to finger veins extraction are described in the details. Image processing methods were used to show that even with traditional, well-known algorithms it is possible to obtain precise information about human veins. The final step in our algorithm is connected with feature vector generation. In this work we do not present a classification stage as it is out of its scope.
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Acknowledgment
The author is thankful to Professor Khalid Saeed for his continuous support and all advice given during the algorithm construction as well as for verification of the proposed approach correctness.
This work was supported by grant W/WI-IIT/2/2019 from Białystok University of Technology and funded with resources for research by the Ministry of Science and Higher Education in Poland.
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Szymkowski, M. (2021). Raspberry Pi-Based Device for Finger Veins Collection and the Image Processing-Based Method for Minutiae Extraction. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2021. Lecture Notes in Computer Science(), vol 12883. Springer, Cham. https://doi.org/10.1007/978-3-030-84340-3_5
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