Design of a Neural Networks Classifier for Face Detection

F. Smach, M. Atri, J. Mitéran, M. Abid
2006 Journal of Computer Science  
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
more » ... 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.
doi:10.3844/jcssp.2006.257.260 fatcat:xct7dqvw7nf3nnx7nuu4tye6aa