SmartEye - vehicle security system using facial recognition

Abstract

Facial recognition has gained increasing interest in the recent decade. Over the years there have been several techniques being developed to achieve high success rate of accuracy in the identification and verification of individuals for authentication in security systems. This project experiments the concept of combining of multilevel wavelet decomposition transformation and neural network for facial recognition in a specific application with its own limitations, in that of vehicle security access control system. The approach of this project is to conceptualise by simulation of the various processes involved in developing an implementable system.