{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T15:01:51Z","timestamp":1761663711882},"reference-count":16,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,4,1]]},"abstract":"<p>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 \u2018matching'. 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.<\/p>","DOI":"10.4018\/ijdldc.2017040104","type":"journal-article","created":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T18:13:52Z","timestamp":1509387232000},"page":"56-72","source":"Crossref","is-referenced-by-count":1,"title":["Palm Vein Recognition System Based on Derived Pattern and Feature Vectors"],"prefix":"10.4018","volume":"8","author":[{"given":"Aderonke","family":"Lawal","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria"}]},{"given":"Segun","family":"Aina","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria"}]},{"given":"Samuel","family":"Okegbile","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria"}]},{"given":"Seun","family":"Ayeni","sequence":"additional","affiliation":[{"name":"Obafemi Awolowo University, Ile-Ife, Nigeria"}]},{"given":"Dare","family":"Omole","sequence":"additional","affiliation":[{"name":"Obafemi Awolowo University, Ile-Ife, Nigeria"}]},{"given":"Adeniran Ishola","family":"Oluwaranti","sequence":"additional","affiliation":[{"name":"Obafemi Awolowo University, Ile-Ife, Nigeria"}]}],"member":"2432","reference":[{"key":"IJDLDC.2017040104-0","unstructured":"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"},{"issue":"5","key":"IJDLDC.2017040104-1","first-page":"200","article-title":"Palm Vein Preprocessing Image based on Homomorphic Filtering.","volume":"3","author":"M. A.Ahmed","year":"2014","journal-title":"International Journal of Emerging Trends & Technology in Computer Science"},{"key":"IJDLDC.2017040104-2","unstructured":"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."},{"key":"IJDLDC.2017040104-3","doi-asserted-by":"publisher","DOI":"10.14257\/ijsip.2014.7.1.04"},{"key":"IJDLDC.2017040104-4","doi-asserted-by":"crossref","unstructured":"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. 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International Journal of Engineering."},{"key":"IJDLDC.2017040104-9","author":"D.Lauber","year":"2003","journal-title":"Biometrics - A brief Overview"},{"key":"IJDLDC.2017040104-10","unstructured":"Manocha, M., and Kaur, P. (2013). Palm Vein Recognition for Human Identification Using NN. International Journal of Innovative Technology and Exploring Engineering, 3(7), 140-143."},{"issue":"8","key":"IJDLDC.2017040104-11","first-page":"692","article-title":"A novel biometric system for person recognition using palm vein images.","volume":"5","author":"S. M.Prabu","year":"2013","journal-title":"International Journal on Computer Science and Engineering"},{"issue":"3","key":"IJDLDC.2017040104-12","first-page":"267","article-title":"Palm-Vein Image Recognition of Human Using Discrete Enhancement.","volume":"6","author":"A.Saravanan","year":"2013","journal-title":"International Journal of Electronics and Communication Engineering."},{"issue":"3","key":"IJDLDC.2017040104-13","first-page":"2298","article-title":"Human Identification Using Palm-Vein Images: A New Trend in Biometrics.","volume":"6","author":"N.Swapnali","year":"2016","journal-title":"International Journal of Engineering Science and Computing."},{"key":"IJDLDC.2017040104-14","first-page":"390","article-title":"Biometric Systems.","volume":"XIV","author":"J. L.Wayman","year":"2005","journal-title":"Technology, Design and Performance Evaluation, Springer"},{"key":"IJDLDC.2017040104-15","unstructured":"Yeung, B. (2016). Introduction to Biometrics Authentication. 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