Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1387
Title: Finger Vein Recognition by Combining Anisotropic Diffusion and a New Feature Extraction Method
Authors: Titrek, Fatih
Baykan, Ömer Kaan
Keywords: Anisotropic Diffusion
Biometrics
Feature Extraction
Finger Vein Recognition
Hvtp Features
Enhancement
Network
Fusion
Filter
Gabor
Issue Date: 2020
Publisher: INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC
Abstract: In recent years, Finger Vein (FV) Recognition System is frequently used where personal security is required. Image distortion caused by light scattering in the tissue is one of the major problems about the visibility of the FV. In this study, Homomorphic Filter and Anisotropic Diffusion are used for removing the light scattering problem in our captured FV image and to increase the visibility of the veined region. Novelty of the study is proposing two new features: Horizontal Total Proportion (HTP) and Vertical Total Proportion (VTP). These two new features were used together with both spatial and frequency domain features and it was observed that the success rates obtained by our attributes were significantly increased. Experimental results demonstrate that the proposed HTP and VTP features are effective and reliable to improve the classification success in FV recognition problem. According to the experiments, the use of Perona-Malik and Homomorphic Filter together has been shown to reduce the light scattering problem and improve vascular visibility by removing the noise in the finger vein image. In this study, four different classifiers are used: Complex Tree, Ensemble, Support Vector Machines (SVM), K-Nearest Neighbors (KNN). The best success rate was achieved by using the KNN classifier.
URI: https://doi.org/10.18280/ts.370310
https://hdl.handle.net/20.500.13091/1387
ISSN: 0765-0019
1958-5608
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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