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Recognizing Frontal Face Images Using Hidden Markov Models ...
In this paper, a low complexity 2-D Hidden Markov Model (HMM) Face Recognition (FR) system is introduced to provide a 2-D representation of the statistical features of the facial image, as opposed ...
 LDA BASED FACE RECOGNITION BY USING HIDDEN MARKOV MODEL IN ...
Abstract: Hidden Markov model (HMM) is a promising method that works well for images with variations in lighting, facial expression, and orientation. Face recognition draws attention as a complex task due to noticeable changes produced on appearance by illumination, facial expression, size, orientation and other external factors....
Applying Hidden Markov Model for Face Recognition using ...
active research sub-area of face recognition. Finding effective algorithms that deal with this problem is the goal of this dissertation. In order to achieve the goal of building a system recognizing face images, we need a model that can capture selective spatial information. In this dissertation, a Hidden Markov Model (HMM) [10]...
Face Recognition using Neural Network - MAFIADOC.COM
1.3.4 Hidden Markov Model Stochastic modeling of nonstationary vector time series based on Hidden Markov Models (HMM) has been very successful for speech applications. Samaria and Fallside [21] applied this method to human face recognition.
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