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Face Recognition Using Hidden Markov Models - MAFIADOC.COM
P2D-HMMs are defined and implemented for face recognition , giving improved experimental results which indicate that the model benefits from using a more efficient 2D representation. Chapter 6 compares the HMM-based approach with the Eigenface approach.
 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....
Seven State HMM-Based Face Recognition System along with ...
J.A. Ojo and S.A. Adeniran, “One-sample Face Recognition Using HMM Model of Fiducial Areas”, International Journal of Image Processing (IJIP), volume 5: Issue-1, pp: 58-68, 2011. S. Raut and S.H.Patil, “Face Recognition using Maximum Confidence Hidden Markov Model”, Proceedings of International Journal of Advances in Engineering and ......
wjert, 2018, Vol. 4, Issue 4, 160-167. Original Article ...
alogrithm for one-sample face recognition using HMM Model of fiducial areas. It used 2D Discrete Wavelet Transform to extract features from images and Hidden Markov Model was used for training, recognition and classification. 90% recognition accuracy was recorded when tested on a subset of AT&T face database. Adedeji et.
List of Open Access publications for International Journal ...
One-Sample Face Recognition Using HMM Model of Fiducial Areas : OJO, John Adedapo, Adeniran, Solomon A. Pages - 58 - 68 | Revised - 31-03-2011 | Published - 04-04-2011 : Full Text Available (246.9KB) MORE INFORMATION : Full Citation | Full Text PDF | Abstract | References | Related Articles
Facial Expression Recognition using Efficient LBP and CNN
al.[8] proposed facial expression recognition method using Hidden Markov Model. The relative displacement of the feature points between the current frame and the neutral frame are extracted as the facial features. Classification entropy threshold and model parameters are found out using iterative algorithm during training process....
Automatic local Gabor features extraction for face recognition
Automatic local Gabor features extraction for face recognition Yousra BEN JEMAA ... Face recognition is a very challenging area in computer vision ... include hidden Markov model (HMM) [19], elastic bunch graph matching algorithm [3] and local feature analysis.
International Journal of Image Processing - ISSN: 1985-2304
Academic Journals Database is a universal index of periodical literature covering basic research from all fields of knowledge, and is particularly strong in medical research, humanities and social sciences. Full-text from most of the articles is available. Academic Journals Database contains complete bibliographic citations, precise indexing, and informative abstracts for papers from a wide ...
Face Recognition Homepage - Algorithms
X. Liu, T. Chen, Video-Based Face Recognition Using Adaptive Hidden Markov Models, Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2003, Vol. I, 16-22 June 2003, Madison, Wisconsin, USA, pp. 340-345
Face recognition from a single image per person: A survey ...
1. Introduction. As one of the few biometric methods that possess the merits of both high accuracy and low intrusiveness, face recognition technology (FRT) has a variety of potential applications in information security, law enforcement and surveillance, smart cards, access control, among others , , .For this reason, FRT has received significantly increased attention from both the academic and ...
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