An Improved Palm Vein Based Recognition System

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dc.contributor.authorAbikoye
dc.contributor.authorChukwu, M
dc.contributor.authorBabatunde, Akinbowale Nathaniel
dc.date.accessioned2018-02-21T13:45:12Z
dc.date.available2018-02-21T13:45:12Z
dc.date.issued2016
dc.description.abstractThough 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 accuracyen_US
dc.identifier.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 – 18en_US
dc.identifier.urihttp://ijcir.mak.ac.ug/volume10-issue1/article2.pdf
dc.identifier.urihttp://hdl.handle.net/123456789/106
dc.language.isoenen_US
dc.publisherThe International Journal of Computing & ICT research, Makerere University. Makerere.en_US
dc.subjectPalm vein verificationen_US
dc.subjectpattern matchingen_US
dc.subjectenhancementen_US
dc.subjectsegmentationen_US
dc.subjectthinningen_US
dc.titleAn Improved Palm Vein Based Recognition Systemen_US
dc.typeArticleen_US

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