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Finger vein identification based on transfer learning of AlexNet

Fairuz, Subha and Habaebi, Mohamed Hadi and Elsheikh, Elsheikh Mohamed Ahmed (2018) Finger vein identification based on transfer learning of AlexNet. In: 2018 7th International Conference on Computer Communication Engineering (ICCCE2018), 19th-20th September 2018, Kuala Lumpur.

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Abstract

Nowadays finger vein-based validation systems are getting extra attraction among other authentication systems due to high security in terms of ensuring data confidentiality. This system works by recognizing patterns from finger vein images and these images are captured using a camera based on near-infrared technology. In this research, we focused finger vein identification system by using our own finger vein dataset, we trained it with transfer learning of AlexNet model and verified by test images. We have done three different experiments with the same dataset but different sizes of data. Therefore, we obtained varied predictability with 95% accuracy from the second experiment.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 6727/67950
Uncontrolled Keywords: Finger vein, AlexNet, Transfer learning, Biometric Identification
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr. Mohamed Hadi Habaebi
Date Deposited: 04 Dec 2018 15:30
Last Modified: 12 Feb 2019 16:10
URI: http://irep.iium.edu.my/id/eprint/67950

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