An Improved Palm Vein Based Recognition System
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
The International Journal of Computing & ICT research, Makerere University. Makerere.
Abstract
Though biometrics techniques has been recording high level of security when compared with other forms of authentication, it still come with challenges of speed and accuracy of the technique been used. In this paper an improved palm vein based recognition system was developed and implemented. The development procedure was divided into four stages which are Image enhancement, Image segmentation, Image thinning and Pattern Matching. The Image was enhanced using Histogram Equalization, after which it was passed for Segmentation by K-Means algorithm. The binarized image from K-Means was then thinned using the Zhang Suen’s algorithm. The Pattern Matching section of the project was done using the Euclidean Distance. Inter-distances of the intersections from the thinned image were stored in a database for subsequent matching. Results from the various test carried out showed that the system has high speed and accuracy
Description
Keywords
Palm vein verification, pattern matching, enhancement, segmentation, thinning
Citation
` Abikoye, O. C, Chukwu, M. & Babatunde, A. N (2016): An Improved Palm Vein Based Recognition System. International Journal of Computing and ICT Research. 11(1); 9 – 18