Histogram of Oriented Gradient Random Template Protection for Face Verification


Chong, Lucas Wei Jie and Chong, Siew Chin (2021) Histogram of Oriented Gradient Random Template Protection for Face Verification. In: 2021 9th International Conference on Information and Communication Technology (ICoICT), 3-5 Aug. 2021, Yogyakarta, Indonesia.

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Privacy preserving scheme for face verification is a biometric system embedded with template protection to protect the data in ensuring data integrity. This paper proposes a new method called Histogram of Oriented Gradient Random Template Protection (HOGRTP). The proposed method utilizes Histogram of Oriented Gradient approach as a feature extraction technique and is combined with Random Template Protection method. The proposed method acts as a multi-factor authentication technique and adds a layer of data protection to avoid the compromising biometric issue because biometric is irreplaceable. The performance accuracy of HOGRTP is tested on the unconstrained face images using the benchmarked dataset, Labeled Face in the Wild (LFW). A promising result is obtained to prove that HOGRTP achieves a higher verification rate in percentage than the pure biometric scheme.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Human face recognition (Computer science), Feature extraction, template protection, face verification, biometric
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 04 Nov 2021 07:13
Last Modified: 04 Nov 2021 07:13
URII: http://shdl.mmu.edu.my/id/eprint/9767


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