Abstract
In this paper we present a biometric system based on dorsal hand vein recognition. The preprocessing steps are tuned for image similar or captured with the same scanner as used for the creation of NCUT database. Image quality was improved according to the segmentation method applied. A coarse segmentation technique based on ordinal image encoding has been proposed to determine the significant parts of the vein skeleton. The vein skeleton obtained is the basis of an accurate image registration. The current work shall prove that the geometric attributes of the segmented vascular network are a solid basis for the dorsal hand vein registration process. The designed authentication system is based on the similarity of registered images applying the k-NN classification. A novel and promising similarity method capable of measuring the distance between two point sets, which have comparable visual aspects, has been introduced. The system was evaluated on the NCUT database. The experimental approach shows that the geometric attributes proposed can reach high performances (near 100% accuracy on the considered database).
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Acknowledgement
The work of S. Emerich was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNCS-UEFISCDI, project number PN-II-RU-TE-2014-4-2080.
The work of L. Szilágyi was supported by the Institute for Research Programs of the Sapientia University.
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Lefkovits, S., Emerich, S., Szilágyi, L. (2018). Biometric System Based on Registration of Dorsal Hand Vein Configurations. In: Satoh, S. (eds) Image and Video Technology. PSIVT 2017. Lecture Notes in Computer Science(), vol 10799. Springer, Cham. https://doi.org/10.1007/978-3-319-92753-4_2
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