Hen, Yap Wooi and Khalid, Marzuki and Yusof, Rubiyah (2007) Face verification with Gabor representation and support vector machines. In: 1st Asia International Conference on Modelling and Simulation, 27th - 30th March 2007, Prince Songkia Univ, Phuket, Thailand.
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Official URL: http://dx.doi.org/10.1109/AMS.2007.39
This paper investigates the intrinsic ability of Gabor representation and support vector machines (SVM) in capturing discriminatory content for face verification task. The idea is to decompose a face image into different spatial frequencies (scales) and orientations where salient discriminant features may appear. Dimensionality reduction is adopted to create low dimensional feature vectors for more convenient processing. SVM is used to extract relevant information from this low dimensional training data in order to construct a robust client-specific classifier. This method has been tested with publicly available AT&T and BANCA datasets. In the BANCA experiments, it was observed that method consistently yields the lowest error rates in comparison with other methods for all seven test configurations. An equal error rate (EER) of 6.19% on the G configuration of BANCA dataset has been achieved
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||Gabor representation, dimensionality reduction, face verification, support vector machines|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Ms Zalinda Shuratman|
|Deposited On:||30 Nov 2011 03:43|
|Last Modified:||08 Feb 2017 00:41|
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