Improved ELBP descriptors for face recognition
by Shekhar Karanwal; Manoj Diwakar
International Journal of Computational Science and Engineering (IJCSE), Vol. 25, No. 2, 2022

Abstract: In this work, the three novel descriptors are introduced for face recognition (FR) so-called sobel horizontal elliptical local binary pattern (SHELBP), sobel vertical elliptical local binary pattern (SVELBP) and sobel elliptical local binary pattern (SELBP). All three proposed descriptors are the extensions of the work proposed by Nguyen and Caplier (2012). Nguyen and Caplier (2012) proposed three descriptors for FR called as HELBP, VELBP and ELBP. In HELBP and VELBP, the horizontal neighbourhood pixels (aligned elliptically) and vertical neighbourhood pixels (aligned elliptically) are compared with centre pixel to produce their feature sizes and ELBP is the combined histogram extracted from both the descriptors. The performance of these descriptors are not effective under illumination variations (without pre-processing), as it is experimentally proved in this work. To compensate for that sobel operator is applied as image pre-processing before feature extraction is performed. The features extracted from sobel magnitude and directional gradients eliminates this problem very effectively.

Online publication date: Tue, 12-Apr-2022

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