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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
A Review on Face Recognition with Artificial Neural Network and Particle Swarm Optimization
Authors
  Abubakar Ibrahim Muhammad

Abstract
Face recognition is the technique for detecting and validating the human face. Face recognition could be from digital images, images from database and sensor images. It becomes a challenging task because of vast distinctions in face appearances, brightness effect and the intricacies involved in the background of an image. Face recognition is the most prominent, significant, reliable and relevant applications of biometric and image processing schemes. In this paper, we present a review which entails a discussion of facial recognition by using artificial neural network (ANN) and particle swarm optimization (PSO) comparing both algorithms and analyzing which of the them gives the optimum outcomes. Recommendations are also been engaged for further research works.

Keywords- Face Recognition, Artificial Neural Network, Particle Swarm Optimization
Publication Details
Unique Identification Number - IJEDR1901009
Page Number(s) - 46-49
Pubished in - Volume 7 | Issue 1 | January 2019
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Abubakar Ibrahim Muhammad,   "A Review on Face Recognition with Artificial Neural Network and Particle Swarm Optimization", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 1, pp.46-49, January 2019, Available at :http://www.ijedr.org/papers/IJEDR1901009.pdf
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