Palm Vein Recognition System Based on Derived Pattern and Feature Vectors

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dc.contributor.authorLawal, A
dc.contributor.authorAina, S
dc.contributor.authorOkegbile, S
dc.contributor.authorAyeni, S
dc.contributor.authorOmole, D
dc.contributor.authorAdeniran, O
dc.date.accessioned2020-02-07T13:07:23Z
dc.date.available2020-02-07T13:07:23Z
dc.date.issued2017-04
dc.descriptionInternational Journal of Digital Literacy and Digital Competence Volume 8 • Issue 2 • April-June 2017en_US
dc.description.abstractBiometrics is a technology for recognition under which Palm vein recognition stems. They are of crucial importance in various applications of high sensitivity. This article develops a palm vein recognition model, based on derived pattern and feature vectors. All the palm print images used in this work were obtained from CASIA Multi-Spectral Palmprint Image Database V1.0 (CASIA database). First, a Region of Interest (ROI) was identified and extracted from the palm print images. Next, Histogram Equalization was used to enhance the area of the palm print image in the Region of Interest. The enhanced image obtained was subjected to the Zhang Suen's Thinning Algorithm to extract appropriate features in the palm print images needed for authentication. The features derived based on this vascular pattern thinning algorithm which are then compared and evaluated to carry out ‘matching'. The Pattern Matching itself was done using the Euclidean Distance for subsequent matching. The model was designed using UML, and implemented with C# and MS SQL on Microsoft Visual Studio platform. The developed system was evaluated based on False Acceptance, False Rejection and Equal Error Rate (EER) values obtained from the system. The results of testing and evaluation show that the developed system has achieved high recognition accuracy.en_US
dc.identifier.urihttps://ir.oauife.edu.ng/handle/123456789/5158
dc.language.isoen_USen_US
dc.publisherIGI Globalen_US
dc.subjectBiometric,en_US
dc.subjectCASIAen_US
dc.subjectPalm Veinsen_US
dc.subjectPattern Matchingen_US
dc.subjectthinningen_US
dc.titlePalm Vein Recognition System Based on Derived Pattern and Feature Vectorsen_US
dc.typeJournalen_US
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