Automatic Face Recognition System for Hidden Markov Model Techniques
M. Peter, Claudia Iancu · InTech eBooks · 2011
Hidden Markov Models (HMMs) are a class of statistical models used to characterize the observable properties of a signal. HMMs consist of two interrelated processes: (i) an underlying, unobservable Markov chain with a finite number of states governed by a state transition probability matrix and an initial state probability distribution, and (ii) a set of