scholarly journals Offline Face Recognition System Based on Gabor- Fisher Descriptors and Hidden Markov Models

2016 ◽  
Vol 4 (1) ◽  
pp. 11 ◽  
Author(s):  
Zineb Elgarrai ◽  
Othmane Elmeslouhi ◽  
Mustapha Kardouchi ◽  
Hakim Allali ◽  
Sid Ahmed Selouani
Keyword(s):  
Face Recognition ◽  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov ◽  
Recognition System ◽  
Face Recognition System

scholarly journals PENGGUNAAN MODEL HIDDEN MARKOV DAN METODE NEURAL NETWORK SEBAGAI PENERAPAN TEKNOLOGI PENGENALAN WAJAH

2019 ◽  
Vol 2 (1) ◽  
pp. 13
Author(s):  
Aria Hendrawan ◽  
Basworo Ardi Pramono ◽  
Whisnumurti Adhiwibowo
Keyword(s):  
Neural Network ◽  
Face Recognition ◽  
Markov Models ◽  
Hidden Markov ◽  
Recognition System ◽  
Hybrid Approaches ◽  
Image Characteristics ◽  
Face Recognition System ◽  
The Face ◽  
Sequential Images

The human face recognition system is one of the fields that is quite developed at this time, where applications can be applied in the field of security (security system) such as permission to access room, surveillance (surveillance), as well as the search for individual identities in the police database. The face recognition approach aims to detect faces in 2-dimensional images and sequential images of videos that have many methods such as local, global, and hybrid approaches.  Hidden Model Markov (HMM) is another promising method that works well for images with different lighting variations, facial expressions, and orientations. HMM is a set of statistical models used to characterize signal properties. An artificial neural network-based approach is learned from image examples and relies on techniques from machine learning to find relevant facial image characteristics. The characteristics studied were in the form of discriminant functions (ie non-linear decision surfaces), then used for face recognition. In this study there will be an application to compare Hidden Markov Models and Neural Network Method as a Face Recognition Technology Algorithm Model.  

scholarly journals Understanding eye movements in face recognition using hidden Markov models

2014 ◽  
Vol 14 (11) ◽  
pp. 8-8 ◽  
Author(s):  
T. Chuk ◽  
A. B. Chan ◽  
J. H. Hsiao
Keyword(s):  
Face Recognition ◽  
Eye Movements ◽  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov
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