MATLAB Source Code for Face Detection Using High Wavelet Feature Extraction and Neural Networks

This article explores a face detection methodology utilizing high wavelet feature extraction combined with neural networks. This approach significantly enhances detection accuracy, making it applicable not only in security systems but also in entertainment applications such as facial recognition technology. We provide a complete MATLAB implementation with detailed source code for reference. The core algorithm involves extracting distinctive facial features using high wavelet transforms, followed by neural network classification for robust pattern recognition. Key implementation aspects include wavelet decomposition for multi-resolution analysis, feature dimensionality reduction, and neural network training using backpropagation. The methodology has demonstrated excellent performance across various applications and domains. This work serves as a valuable resource for readers seeking in-depth understanding of advanced face detection techniques while providing practical reference material for researchers in related fields.