Independent Component Regularisation Analysis on Face Verification


Liew, Yee Ping (2015) Independent Component Regularisation Analysis on Face Verification. Masters thesis, Multimedia University.

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Face verification system is one of the biometrics technologies which has gained considerable attention since the past decades. It uses human’s unique characteristic which is face to authenticate one’s identity. Contactless verification from users to the device and avoiding using expensive devices are two main reasons for the popularity of face verification application. Illumination, pose and facial expressions variations always resulting in performance degradation. Resolving these intra-class variations for promising performance is still a challenge in nowadays. Dimensionality reduction is one of the main tasks in face verification. Instead of using high dimensionality facial images, subspace approach has been introduced whereby each image dimension is reduced while redundant features are eliminated. This approach attempts to seek the most appropriate representation of the face data and extract features without sacrificing its discriminant information.

Item Type: Thesis (Masters)
Additional Information: Call No.: TA1650 .L54 2015
Uncontrolled Keywords: Human face recognition (Computer science)
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: 07 Sep 2017 10:34
Last Modified: 08 Dec 2022 05:01


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