An Approach to Face Detection and Recognition using Viola Jones
Arvind Malge1, Hardik Kumar M. Dhaduk2, Mallikarjuna Shastry P.M3
1Arvind Malge, Department of C&IT, REVA University, Bangalore, India.
2Hardik Kumar M. Dhaduk, Department of C&IT, REVA University, Bangalore, India.
3Mallikarjuna Shastry P.M, Department of C&IT, REVA University, Bangalore, India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 29 June 2019 | PP: 52-56 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10110585S19/19©BEIESP
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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: The face of human may be a muddled visual dimension model and is therefore extremely difficult to create a computing model for the cognitive basic process. The paper displays a system for perceiving the human face smitten by image-based highlights. The technique proposed is available in 2 phases. In an image using Viola-Jones calculation, the main preparation distinguishes the human face. Using a combination of Principle Component Analysis and Artificial Neural Network, the distinguished face within the image is perceived at the next stage contrasting the execution of the proposed strategy with existing ways. The proposed strategy recognizes greater accuracy in the acknowledgement.
Keywords: Face Recognition, Viola-Jones Algorithm, PCA, AAN.
Scope of the Article: Pattern Recognition and Analysis