TY  - JOUR
AU  - Smach, F. 
AU  - Atri, M. 
AU  - Mitéran, J. 
AU  - Abid, M. 
PY  - 2006
TI  - Design of a Neural Networks Classifier for Face Detection
JF  - Journal of Computer Science
VL  - 2
IS  - 3
DO  - 10.3844/jcssp.2006.257.260
UR  - https://thescipub.com/abstract/jcssp.2006.257.260
AB  - 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 was to implement a classifier based on neural networks MLP (Multi-layer Perception) for face detection. The MLP was used to classify face and non-face patterns. The system described using C language on a P4 (2.4 Ghz) to extract weight values. Then a Hardware implementation achieved using VHDL based Methodology. We targeted Xilinx FPGA as the implementation support.