Palm vein recognition based on convolution neural network
Joint Authors
al-Jabburi, Ali Muhsin
al-Jabiri, Ali Salam
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 13, Issue 3 (30 Sep. 2021), pp.1-14, 14 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2021-09-30
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This paper presents a new validation method using a convolutional neural network for palm vein recognition.
Unlike fingerprint and face.
Vein patterns are endogenous biometric features that do not change over time and that make them difficult to identify and replicate in people.
The proposed paper aims to provide a new way to identify people through their veins.
This paper used the CASIA dataset, which consists of several wavelengths, in this research used the 850nm wavelength, which is clear in the veins, In addition, we divided the data into 3 cases.
The first case is when the training and testing ratio is 50/50, the second case when it is 70/30, and the last case when it is 90/10.
Obtained an accuracy of 98% in the case 90/10.
In addition, to the proposed network, and used a well-known global network, the AlexNet network, where did the same work on it to compare the results of our proposed network with it.
As proposed network outperformed it in terms of accuracy and speed, where the accuracy was 96% in the case 90/10.
American Psychological Association (APA)
al-Jabiri, Ali Salam& al-Jabburi, Ali Muhsin. 2021. Palm vein recognition based on convolution neural network. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 13, no. 3, pp.1-14.
https://search.emarefa.net/detail/BIM-1473766
Modern Language Association (MLA)
al-Jabiri, Ali Salam& al-Jabburi, Ali Muhsin. Palm vein recognition based on convolution neural network. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 13, no. 3 (2021), pp.1-14.
https://search.emarefa.net/detail/BIM-1473766
American Medical Association (AMA)
al-Jabiri, Ali Salam& al-Jabburi, Ali Muhsin. Palm vein recognition based on convolution neural network. al-Qadisiyah Journal for Computer Science and Mathematics. 2021. Vol. 13, no. 3, pp.1-14.
https://search.emarefa.net/detail/BIM-1473766
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 13-14
Record ID
BIM-1473766