Palm Vein Recognition System Based on Derived Pattern and Feature Vectors
International Journal of Digital Literacy and Digital Competence Volume 8 • Issue 2 • April-June 2017
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| Formato: | Periódico |
| Idioma: | en_US |
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IGI Global
2020
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| Acesso em linha: | https://ir.oauife.edu.ng/handle/123456789/5158 |
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| _version_ | 1810764567719968768 |
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| author | Lawal, A Aina, S Okegbile, S Ayeni, S Omole, D Adeniran, O |
| author_facet | Lawal, A Aina, S Okegbile, S Ayeni, S Omole, D Adeniran, O |
| author_sort | Lawal, A |
| collection | DSpace |
| description | International Journal of Digital Literacy and Digital Competence Volume 8 • Issue 2 • April-June 2017 |
| format | Journal |
| id | oai:ir.oauife.edu.ng:123456789-5158 |
| institution | My University |
| language | en_US |
| publishDate | 2020 |
| publisher | IGI Global |
| record_format | dspace |
| spelling | oai:ir.oauife.edu.ng:123456789-51582023-05-13T11:12:26Z Palm Vein Recognition System Based on Derived Pattern and Feature Vectors Lawal, A Aina, S Okegbile, S Ayeni, S Omole, D Adeniran, O Biometric, CASIA Palm Veins Pattern Matching thinning International Journal of Digital Literacy and Digital Competence Volume 8 • Issue 2 • April-June 2017 Biometrics 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. 2020-02-07T13:07:23Z 2020-02-07T13:07:23Z 2017-04 Journal https://ir.oauife.edu.ng/handle/123456789/5158 en_US application/pdf IGI Global |
| spellingShingle | Biometric, CASIA Palm Veins Pattern Matching thinning Lawal, A Aina, S Okegbile, S Ayeni, S Omole, D Adeniran, O Palm Vein Recognition System Based on Derived Pattern and Feature Vectors |
| title | Palm Vein Recognition System Based on Derived Pattern and Feature Vectors |
| title_full | Palm Vein Recognition System Based on Derived Pattern and Feature Vectors |
| title_fullStr | Palm Vein Recognition System Based on Derived Pattern and Feature Vectors |
| title_full_unstemmed | Palm Vein Recognition System Based on Derived Pattern and Feature Vectors |
| title_short | Palm Vein Recognition System Based on Derived Pattern and Feature Vectors |
| title_sort | palm vein recognition system based on derived pattern and feature vectors |
| topic | Biometric, CASIA Palm Veins Pattern Matching thinning |
| url | https://ir.oauife.edu.ng/handle/123456789/5158 |
| work_keys_str_mv | AT lawala palmveinrecognitionsystembasedonderivedpatternandfeaturevectors AT ainas palmveinrecognitionsystembasedonderivedpatternandfeaturevectors AT okegbiles palmveinrecognitionsystembasedonderivedpatternandfeaturevectors AT ayenis palmveinrecognitionsystembasedonderivedpatternandfeaturevectors AT omoled palmveinrecognitionsystembasedonderivedpatternandfeaturevectors AT adenirano palmveinrecognitionsystembasedonderivedpatternandfeaturevectors |