Palm Vein Recognition System Based on Derived Pattern and Feature Vectors

Author:

Lawal Aderonke1,Aina Segun1,Okegbile Samuel1,Ayeni Seun2,Omole Dare2,Oluwaranti Adeniran Ishola2

Affiliation:

1. Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria

2. Obafemi Awolowo University, Ile-Ife, Nigeria

Abstract

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.

Publisher

IGI Global

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference16 articles.

1. Ahmed, M. A. and Ebied, H. M. (2013). Analysis of Palm Vein Pattern Recognition Algorithms and Systems. International Journal of Bio-Medical Informatics and e-Health, 1(1), 10-14

2. Palm Vein Preprocessing Image based on Homomorphic Filtering.;M. A.Ahmed;International Journal of Emerging Trends & Technology in Computer Science,2014

3. Aj-juboori, A. M., Bu, W., Wu, X. and Zhao, Q. (2013). Palm Vein Verification Using Gabor Filter. IJCSI International Journal of Computer Science Issues, 10(1), 678-684.

4. Palm Vein Verification Using Multiple Features and Isometric Projection

5. Bhosale, V. U., Kale, S., Pawar, M. W., Patil, R.R., Patil, P.S. & Madankar, S. (2014) Palm. Vein Extraction and Matching For Personal Identification. IOSR Journal of Computer Engineering, 16(2), 64-68.

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