A Parallel Face Detection Method using Genetic & CRO Algorithms on Multi-core Platform

Face recognition is a well-known biometric method that used in many applications for authentication and identification. The original face recognition scheme takes face image, extract its features and store it as a vector in the database. The saved vector is then compared with the input image by comparing features to recognize it. Many methods had been proposed before to achieve that and to increase the level of identification accuracy. This paper proposes a new method by using a meta-heuristic algorithm Genetic and Chemical Reaction Optimization algorithms, both are implemented in parallel using multicore platform. The aim is to increase accuracy of image matching with less error rate and increase performance of the system in terms of speedup.