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Paper Details
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 - IJEDR1901009Page Number(s) - 46-49Pubished in - Volume 7 | Issue 1 | January 2019DOI (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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