Recent work on face identification using continuous density Hidden Markov Models (HMMs)
has shown that stochastic modelling can be used successfully to encode feature information …

The work presented in this paper describes a hidden Markov model (HMM)-based
framework for face recognition and face detection. The observation vectors used to …

We describe an embedded hidden Markov model (HMM)-based approach for face detection
and recognition that uses an efficient set of observation vectors obtained from the 2D-DCT …

The work presented in this paper focuses on the use of hidden Markov models for face
recognition. A new method based on the extraction of 2D-DCT feature vectors is described …

The embedded hidden Markov model (HMM) is a statistical model that can be used in many
pattern recognition and computer vision applications. This model inherits the partial size …

A transform domain approach coupled with Hidden Markov Model (HMM) for face
recognition is presented. JPEG kind of strategy is employed to transform input subimage for …

This paper describes an approach to the problem of face identification which uses Hidden
Markov Models (HMM) to represent the statistics of facial images. HMMs have previously …

Face Identi cation and Feature Extraction Using Hidden Markov Models be obtained from an
image by sampling it using a sliding window, where each element of the sequence is a …

This dissertation introduces work on face recognition using a novel technique based on
Hidden Markov Models (HMMs). Through the integration of a priori structural knowl-edge …

In this paper, a new system for face recognition is proposed, based on hidden Markov
models (HMM) and wavelet coding. A sequence of overlapping sub-images is extracted from …