Face Recognition Using Hidden Markov Models
Requirements: Matlab, Matlab Signal Processing Toolbox.
In recent years, a large number of methods have been investigated for automatic face recognition. Among
others, the sequential approaches received great interest. These mimick the human visual system in its
serial way of recognizing faces, where the face image is explored with a scanning strategy, called a scanpath, in
order to collect a sequence of features. For modeling the sequential data, Hidden Markov Models have shown
to be accurate and effective.
Index Terms: Matlab, source, code, face, facial, recognition, HMM, hidden, markov, models, model.
Release 1.0 Date 2014.06.07
Major features:
- Face recognition based on Hidden Markov Models
- Automatic feature extraction
- Fast and optimized implementation
- Easy and intuitive GUI