This thesis proposes a face recognition algorithm based on vector quantization. It precisely introduces the algorithm of vector quantization and implements the face recognition system on PC based on vector quantization algorithm. The face eigenvalue is extracted and vector quantified, and the results are regarded as the training data for Hidden Markov Model. The training target is the Hidden Markov Model. Experiments prove that this algorithm increases the speed of multiple images recognition.
Research of Vector Quantization Algorithm in Face Recognition System
Adv.Intel.,Soft Computing
2012-01-01
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Face Recognition Using Vector Quantization Codebook Space Information Processing
British Library Conference Proceedings | 2004
|An adaptive hybrid vector quantization algorithm
AIAA | 1993
|Vector Quantization Algorithms in Automatic Speaker Recognition
British Library Online Contents | 2003
|Vector Quantization Algorithms in Automatic Speaker Recognition
British Library Online Contents | 2003
|