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Single Image Face Recognition based on Gabor, Sobel and Local Ternary Pattern

by Pronaya Prosun Das, Taskeed Jabid, S.M. Shariar Mahamud
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 16
Year of Publication: 2015
Authors: Pronaya Prosun Das, Taskeed Jabid, S.M. Shariar Mahamud
10.5120/ijca2015907690

Pronaya Prosun Das, Taskeed Jabid, S.M. Shariar Mahamud . Single Image Face Recognition based on Gabor, Sobel and Local Ternary Pattern. International Journal of Computer Applications. 132, 16 ( December 2015), 15-19. DOI=10.5120/ijca2015907690

@article{ 10.5120/ijca2015907690,
author = { Pronaya Prosun Das, Taskeed Jabid, S.M. Shariar Mahamud },
title = { Single Image Face Recognition based on Gabor, Sobel and Local Ternary Pattern },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 16 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number16/23678-2015907690/ },
doi = { 10.5120/ijca2015907690 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:29:36.442476+05:30
%A Pronaya Prosun Das
%A Taskeed Jabid
%A S.M. Shariar Mahamud
%T Single Image Face Recognition based on Gabor, Sobel and Local Ternary Pattern
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 16
%P 15-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition has been a fast growing, challenging and fascinating area in real time applications. A large number of face recognition algorithms have been developed in last decades. This paper presents a face recognition approach that utilizes the Sobel operator, Local Ternary Pattern (LTP) descriptor, Gabor features and Principal Component Analysis (PCA) algorithms to attain enhanced recognition accuracy where training set has only one image per person. In particular, the edge information of face image is enhanced using Sobel operator. Then we use LTP on the image to encode the micro-level information of spots, edges and other local characteristics. Finally Gabor-wavelets based features are then extracted and their histograms are concatenated together into a contiguous histogram to be used as a descriptor of the face. As Gabor features cause a very high dimensional histogram vector, therefore PCA is used to reduce the dimension. This approach is compared with the original LBP, LTP and Sobel LTP on gray-level images for face recognition. The experimental results exhibit that our method provides a remarkable performance under various conditions.

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Index Terms

Computer Science
Information Sciences

Keywords

Face recognition Local Binary Pattern (LBP) Local Ternary Pattern (LTP) Sobel operator Sobel LTP (S_LTP) Gabor features Gabor Sobel LTP (G_S_LTP) Principal Component Analysis.

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