Face feature extraction using Bayesian network

Face recognition is highly dependent on two stages that are image preprocessing and classification. Methods for feature extraction and classification have been investigated. Through the investigations a method that uses Bayesian Network for feature extraction and Backpropagation algorithm for classification has been proposed. A prototype of the system was implemented and experiments were carried out. Different set of parameters were used for each experiment. Parameters involved were the learning rate, momentum rate and the number of training cycle. Results were satisfactory. The most outstanding performance shows that 78% successful recognition has been achieved with the feature extraction process and 70% without the feature extraction process.