F. Smach and M. Atri and J. Mitéran and M. Abid
Design of a Neural Networks Classifier for Face Detection
3563 - 3566
2007
1
11
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/5497
https://publications.waset.org/vol/11
World Academy of Science, Engineering and Technology
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 realtime processing,
but has higher cost and time tomarket.
The objective of this work is to implement a classifier based on
neural networks MLP (Multilayer Perceptron) for face detection.
The MLP is used to classify face and nonface patterns. The systm is
described 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.
Open Science Index 11, 2007