Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 1
Search results for: F. Smach
1 Design of a Neural Networks Classifier for Face Detection
Authors: F. Smach, M. Atri, J. Mitéran, M. Abid
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 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 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.Keywords: Classification, Face Detection, FPGA Hardware description, MLP.
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