Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2114
Title: Improving the Component-Based Face Recognition Using Enhanced Viola-Jones and Weighted Voting Technique
Authors: Dagher, Issam 
Bazzaz, Hussein Al
Affiliations: Department of Computer Engineering 
Issue Date: 2019
Part of: Journal of modelling and simulation in engineering
Volume: 2019
Abstract: 
This paper enhances the recognition capabilities of the facial component-based techniques using the concepts of better Viola–Jones component detection and weighting facial components. Our method starts with enhanced Viola–Jones face component detection and cropping. The facial components are detected and cropped accurately during all pose-changing circumstances. The cropped components are represented by the histogram of oriented gradients (HOG). The weight of each component was determined using a validation process. Combining these weights was done by a simple voting technique. Three public databases were used: the AT&T database, the PUT database, and the AR database. Several improvements are observed using the weighted voting recognition method presented in this paper.
URI: https://scholarhub.balamand.edu.lb/handle/uob/2114
DOI: 10.1155/2019/8234124
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Computer Engineering

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