Palm Vein Based Authentication System by Using Convolution Neural Network

Ali Salam Al-Jaberi, Ali Mohsin Al-Juboori, Rawaa Al-Jumeil, Mohammed Al-Khafaji, Thar Baker

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

Abstract

The recognition of hand palm print through veins is one of the promising biometric techniques, which has received great interest lately due to its accuracy in identifying individuals. Although the literature witnessed several techniques and developments to deal with the problem of identifying people through the veins in the palm, the technology is still in its infancy. In this research, we propose our palm print recognition model which use convolution neural networks preceded by the pre-processing stages to optimise the data and to extract the important regions. The pre-processing helped in extracting the vein pattern which feed into the proposed convolution neural network model. The CASIA database has been used; it contains 7200 images taken form 100 people based on 6 wavelengths (940 nm, 850 nm, 700 nm, 630 nm, 460 nm, and white). The model has been tested with all wavelengths in the database. AlexNet is used for benchmarking. The results show that our approach using the proposed pre-processing has helped to surpass AlexNet in terms of performance, speed, and accuracy.

Original languageEnglish
Title of host publication2021 14th International Conference on Developments in eSystems Engineering, DeSE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages370-375
Number of pages6
ISBN (Electronic)9781665408882
DOIs
Publication statusPublished - 2021
Event14th International Conference on Developments in eSystems Engineering, DeSE 2021 - Sharjah, United Arab Emirates
Duration: 7 Dec 202110 Dec 2021

Publication series

NameProceedings - International Conference on Developments in eSystems Engineering, DeSE
Volume2021-December
ISSN (Print)2161-1343

Conference

Conference14th International Conference on Developments in eSystems Engineering, DeSE 2021
Country/TerritoryUnited Arab Emirates
CitySharjah
Period7/12/2110/12/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

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