Analysis on Feature Extraction of Periocular Region(Soft biometrics) using LBP, PCA, ICA & Gabour filters

International Journal of Computer Trends and Technology (IJCTT)          
© - June Issue 2013 by IJCTT Journal
Volume-4 Issue-6                           
Year of Publication : 2013
Authors :Sunila Godara, Vanita Rawal, Megha Ranolia


Sunila Godara, Vanita Rawal, Megha Ranolia"Analysis on Feature Extraction of Periocular Region(Soft biometrics) using LBP, PCA, ICA & Gabour filters"International Journal of Computer Trends and Technology (IJCTT),V4(6):1777-1782 June Issue 2013 .ISSN Published by Seventh Sense Research Group.

Abstract: - In this paper we analyses the various methods of feature extraction. In iris recognition there are several steps to perform identification. Similarly these steps are used in periocular region i.e. defined as the fixed region surrounding the iris of the individual. This region encompasses the eyelids, eyelashes, eyebrows and the surrounding skin area. LBP is defined as Local Binary Pattern used for feature extraction. The LBP features are firstly extracted from the original facial expression images. The LBP operator was introduced as a complementary measure for local image contrast, and it was developed as a grayscale invariant pattern measure adding harmonizing information to the “amount” of texture in images. The independent component analysis (ICA) is a technique that extracts the original signals from mixtures of many independent sources without a priori information on the sources and the process of the mixture. Gabor features encode facial shape over a broader range of scales. In the commonly adopted PCA representation, the pixel grey values are normalized based on equalized value of histogram, to have a mean of zero and a standard deviation of one.


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Keywords - LBP, ICA, PCA, Gabor Filters, Periocular region