A FPGA Implementation of Neural/Wavelet Face Detection System

In this paper the FPGA implementation of composition of an Artificial Neural Network (ANN) architecture and Wavelet transforms for a face detection system is considered. A novel technique is proposed to design the face detection system. First, Wavelet Transforms are applied in the input image in order to extract particular features that are detected by a locally connected Multilayer Perceptron network.. We then propose an FPGA implementation which entails very low logic and memory costs and achieves extremely high processing rates at low clock speeds