RECOGNITION OF THE FACE IMAGES WITH OCCLUSION AND EXPRESSION

2012 ◽  
Vol 26 (03) ◽  
pp. 1256006 ◽  
Author(s):  
J. SHERMINA ◽  
V. VASUDEVAN
Keyword(s):  
Face Recognition ◽  
Law Enforcement ◽  
Recognition Performance ◽  
Recognition System ◽  
Block Matching ◽  
Face Images ◽  
Mode Decomposition ◽  
Face Recognition System ◽  
Matching Technique ◽  
The Face

Face recognition, a kind of biometric identification, researched in several fields such as computer vision, image processing, and pattern recognition is a natural and direct biometric method. Face Recognition Technology has diverse potential over applications in the fields of information security, law enforcement and surveillance, smart cards, access control and more. Face recognition is one of the diverse techniques used for identifying an individual. Generally the image variations because of the change in face identity are less than the variations among the images of the same face under different illumination and viewing angle. Illumination and pose are the two major challenges, among the several factors that influence face recognition. After pose and illumination, the main factors that affect the face recognition performance are occlusion and expression. So in order to overcome these issues, we proposed an efficient face recognition system based on partial occlusion and expression. The similar blocks in the face image are identified and occlusion can be recovered using the block matching technique. This is combined with expression normalized by calculating the Empherical Mode Decomposition feature. Finally, the face can be recognized by using the PCA. From the implementation result, it is evident that our proposed method based on the PCA technique recognizes the face images effectively.

scholarly journals Design of face recognition system based on CNN

2020 ◽  
Vol 1601 ◽  
pp. 052011
Author(s):  
Yong Li ◽  
Zhe Wang ◽  
Yang Li ◽  
Xu Zhao ◽  
Hanwen Huang
Keyword(s):  
Face Recognition ◽  
Recognition System ◽  
Face Recognition System

Research and Design of Fast Special Human Face Recognition System

2020 ◽  
Author(s):  
Rachmat Muwardi ◽  
Huangyao Qin ◽  
Hongmin Gao ◽  
Harun Usman Ghifarsyam ◽  
Muhammad Hafizd Ibnu Hajar ◽  
...  
Keyword(s):  
Face Recognition ◽  
Recognition System ◽  
Human Face ◽  
Human Face Recognition ◽  
Face Recognition System ◽  
Research And Design

HUMAN FACE RECOGNITION FROM A SINGLE FRONT VIEW

1992 ◽  
Vol 06 (04) ◽  
pp. 571-593 ◽  
Author(s):  
CHING-WEN CHEN ◽  
CHUNG-LIN HUANG
Keyword(s):  
Face Recognition ◽  
Active Contour Model ◽  
Facial Feature ◽  
Recognition System ◽  
Facial Features ◽  
Human Face Recognition ◽  
Front View ◽  
Deformable Template ◽  
Face Recognition System ◽  
Feature Values

This paper presents a face recognition system which can identify the unknown identity effectively using the front-view facial features. In front-view facial feature extractions, we can capture the contours of eyes and mouth by the deformable template model because of their analytically describable shapes. However, the shapes of eyebrows, nostrils and face are difficult to model using a deformable template. We extract them by using the active contour model (snake). After the contours of all facial features have been captured, we calculate effective feature values from these extracted contours and construct databases for unknown identities classification. In the database generation phase, 12 models are photographed, and feature vectors are calculated for each portrait. In the identification phase if any one of these 12 persons has his picture taken again, the system can recognize his identity.

scholarly journals Face Recognition System for Set-Top Box-Based Intelligent TV

Sensors ◽  
2014 ◽  
Vol 14 (11) ◽  
pp. 21726-21749 ◽  
Author(s):  
Won Lee ◽  
Yeong Kim ◽  
Hyung Hong ◽  
Kang Park
Keyword(s):  
Face Recognition ◽  
Recognition System ◽  
Set Top Box ◽  
Face Recognition System
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