Design of a Neural Networks Classifier for Face Detection
F. Smach, M. Atri, J. Mitéran and M. Abid
DOI : 10.3844/jcssp.2006.257.260
Journal of Computer Science
Volume 2, Issue 3
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.
© 2006 F. Smach, M. Atri, J. Mitéran and M. Abid. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.