Face Recognition System Combining Markov Model and Support Vector Machine

A MATLAB-implemented face recognition system based on Markov Model and Support Vector Machine with integrated face database. This robust implementation (non-original) demonstrates excellent performance with key features: database generation from training/test samples; face recognition rate calculation (96.5 ); specific image identification; real-time camera-based face recognition. The system utilizes probability transition matrices for feature extraction and SVM classification for pattern recognition.