Design Of A Neural Networks Classifier For Face Detection

F. Smach, M. Atri, J. Mitéran, M. Abid
2007 Zenodo  
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:10.5281/zenodo.1061160 fatcat:pszjer5dl5bu3ehfyraalsz5sq