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Age-Invariant Face Recognition Technique Using Facial Geometry

Osman Ali, Amal Seralkhatem and Asirvadam, Vijanth Sagayan a/l and Malik, Aamir Saeed and Aziz, Azrina (2013) Age-Invariant Face Recognition Technique Using Facial Geometry. In: Soft Computing Applications and Intelligent Systems. Communications in Computer and Information Science (CCIS), 378 (378). Springer Berlin Heidelberg, pp. 89-98. ISBN 978-3-642-40566-2

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Official URL: http://dx.doi.org/10.1007/978-3-642-40567-9_8

Abstract

While face recognition systems have proven to be sensitive to factors such as illumination and pose, their sensitivity to facial aging effects is yet to be studied. The FRVT (Face Recognition Vendor Test) report estimated a decrease in performance by approximately 5% for each year of age difference. This research study proposed a geometrical model based on multiple triangular features for the purpose of handling the challenge of face age variations that affect the process of face recognition. The system is aim to serve in real time applications were the test images are usually taken in random scales that may not be of the same scale as the probe image, along with orientation, lighting ,illumination, and pose variations. Multiple mathematical equations where developed and used in the process of forming distinct subjects clusters. These clusters hold the results of applying the developed mathematical models over the FGNET face aging database.

Item Type:Book Section
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Academic Subject One:Academic Department - Electrical And Electronics - Communications - Digital Communications - Digital Signal Processing
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Research Institutes > Institute for Health Analytics
ID Code:10894
Deposited By: Dr Aamir Saeed Malik
Deposited On:16 Dec 2013 23:48
Last Modified:16 Dec 2013 23:48

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