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Scale-Invariant Face Recognition Using Triangular Geometrical Model

Osman Ali, Amal Seralkhatem and Asirvadam , Vijanth Sagayan and Malik, Aamir S. and Aziz, Azrina (2013) Scale-Invariant Face Recognition Using Triangular Geometrical Model. In: The IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 8-10th October 2013, Melaka.

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Abstract

This work proposes a geometrical model based on multiple triangular features for the purpose of handling the challenge of scale variations that affect the process of face recognition especially in real time applications where the test images are usually taken in random scales that are usually different from the probe image. Geometrical approaches have proved to be robust to lighting and illumination variation. Furthermore geometrical methods in general do not hold computational complexity and have the benefit of faster processing time, which make them appropriate for real time applications. Fifteen triangle similarity measurement equations were derived and used to build a class of feature vectors for each subject. Ten images in ten different scales were taken for each subject for a total of fifty samples. Classification results show that the proposed model is promising in handling the challenge of scale variations.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Academic Subject One:Face recognition
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:10954
Deposited By: Mrs Azrina Abd Aziz
Deposited On:16 Dec 2013 23:48
Last Modified:16 Dec 2013 23:48

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