Title :
A survey on comparison of face recognition algorithms
Author :
Ozdil, Ahmet ; Ozbilen, Metin Mete
Author_Institution :
Dept. of Comput. Eng., Abdullah Gul Univ., Kayseri, Turkey
Abstract :
The identification of a face from a video or image source is a study of computer vision know as face detection or recognition. Face detection and recognition becomes popular in recent years by the development of computing power. In this study we will present performance aspect of algorithms Eigenfaces, Fisherfaces, and Local Binary Pattern Histograms in different development platforms: Arm and Intel processors.
Keywords :
computer vision; face recognition; Arm processors; Eigenfaces algorithm; Fisherfaces algorithm; Intel processors; computer vision; face detection; face identification; face recognition algorithms; local binary pattern histograms; Face; Face detection; Face recognition; Histograms; Lighting; Principal component analysis; Training; Eigenfaces; Embedded; Face Recognition; Fisherface; LBPH;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on
Conference_Location :
Astana
Print_ISBN :
978-1-4799-4120-9
DOI :
10.1109/ICAICT.2014.7035956
