@article {10.3844/jcssp.2006.257.260,
article_type = {journal},
title = {Design of a Neural Networks Classifier for Face Detection},
author = {Smach, F. and Atri, M. and Mitéran, J. and Abid, M.},
volume = {2},
number = {3},
year = {2006},
month = {Mar},
pages = {257-260},
doi = {10.3844/jcssp.2006.257.260},
url = {https://thescipub.com/abstract/jcssp.2006.257.260},
abstract = {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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}