Abstract:
The continuous growth of insecurity issues around the world has further increased public interest in biometric surveillance systems. Face recognition has proven to be def...Show MoreMetadata
Abstract:
The continuous growth of insecurity issues around the world has further increased public interest in biometric surveillance systems. Face recognition has proven to be definitive in this area due to its low intrusiveness, accuracy and finesse unlike other biometric systems. This paper presents a comparative analysis of the performance of some selected face recognition systems, namely the PCA, 2DPCA and Artificial Neural Network. The algorithms were implemented and tested exhaustively to evaluate the performance of these algorithms under different face databases in respect to false acceptance rate and false rejection rate.
Published in: 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)
Date of Conference: 27-29 November 2012
Date Added to IEEE Xplore: 24 January 2013
ISBN Information: