Book Details
Mandatory Fields
Peter M Corcoran, Claudia Iancu
2011
New Approaches to Characterization and Recognition of Faces
Intech
Croatia
Published
1
Optional Fields
Face Recognition, Hidden Markov Model, Statistical Pattern Analysis
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 observations, defined by the observation density functions associated with each state. In this chapter we describe the generalized architecture of an automatic face recognition system using HMM recognition techniques. 
978-953-307-515-0
Peter Corcoran
http://www.intechopen.com/articles/show/title/automatic-face-recognition-system-for-hidden-markov-model-techniques
26
Grant Details
Innovation Partnership
Publication Themes