Human Face and Facial Parts Detection using Template Matching Technique 
Payal Bose1, Samir Kumar Bandyopadhyay2
1Payal Bose*, Ph.D. Research Scholar of Lincoln University College, Malaysia
2Prof. Samir Kumar Bandyopadhyay, Distinguish Professor, Lincoln University College, Malaysia.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 10, 2020. | Manuscript published on April 30, 2020. | PP: 2296-2299 | Volume-9 Issue-4, April 2020. | Retrieval Number: D6689049420/2020©BEIESP | DOI: 10.35940/ijeat.D6689.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: : 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.
Keywords: Face detection, Face Recognition, Template Matching, Normalized Cross-Correlation