LVQ Neural Network for Prediction - Face Orientation Recognition
Face recognition, as a complex pattern recognition problem, has garnered widespread attention in recent years, with various methods in the recognition field demonstrating their strengths and leading to the development of many novel approaches that significantly enrich and broaden the direction of pattern recognition. This project utilizes an image database containing facial images from different angles, comprising 10 individuals with 5 images each, depicting face orientations: left, left-front, front, right-front, and right. An LVQ neural network is created to predict and recognize the orientation of any given facial image. Compared to BP neural networks, LVQ networks require no data preprocessing and directly compute distances between input vectors and competitive layers for pattern recognition. Recent years have seen increasingly in-depth research on LVQ neural networks, with applications becoming more widespread.