A Neuro-Genetic System for Face Recognition
V. Saishanmuga Raja · 2012
Face Recognition has been identified as one of the attracting research areas and it has drawn the attention of many researchers due to its varying applications such as security systems, medical systems, entertainment, etc. A wide variety of systems requires reliable personal recognition schemes to either confirm or determine the identity of an individual requesting their services. Face recognition is the preferred mode of identification by humans: it is natural, robust and non-intrusive. The proposed approach uses Neural and Genetic algorithm that overcomes low recognition rate, low accuracy and increased time of recovery. Optimization of neural network parameters is done using Genetic algorithm. This increases recognition accuracy and reduced training time.