Design of a Neural Networks Classifier for Face Detection
Fethi Smach, Mohamed Atri, J. Mitéran, Mohamed Nadhir Abid · Journal of Computer Science · 2006
Face detection and recognition has many applications in a variety of fields such as security system, videoconferencing and identification.Face classification is currently implemented in software.A hardware implementation allows real-time processing, but has higher cost and time to-market.The objective of this work is to implement a classifier based on neural networks MLP (Multi-layer Perceptron) for face detection.The MLP is used to classify face and non-face patterns.The systm is described using C language on a P4 (2.4 Ghz) to extract weight values.Then a Hardware implementation is achieved using VHDL based Methodology.We target Xilinx FPGA as the implementation support.