Open AccessHuman Face and Facial Parts Detection using Template Matching Technique
Author(s) -
Payal Bose,
Samir Kumar Bandyopadhyay
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d6689.049420
Subject(s) - template matching , computer science , artificial intelligence , template , face (sociological concept) , computer vision , matching (statistics) , face detection , pattern recognition (psychology) , facial recognition system , image (mathematics) , mathematics , social science , statistics , sociology , programming language
Face recognition has become relevant in recent years because of its potential applications. The aim of this paper is to find out the relevant techniques which give not only better accuracy also the efficient speed. There are several techniques available for face detection which give much better accuracy but the execution speed is not efficient. In this paper, a normalized cross-correlation template matching technique is used to solve this problem. According to the proposed algorithm, first different facial parts are detected likes mouth, eyes, and nose. If any of the two facial parts are found successfully then the face can be detected. For matching the templates with the target image, the template rotates at a certain angle interval.