Open AccessAsymmetrical Half-join Method on Dual Vision Face Recognition
Author(s) -
Edy Winarno,
Imam Husni Al Amin,
Wiwien Hadikurniawati
Publication year - 2017
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v7i6.pp3411-3420
Subject(s) - join (topology) , artificial intelligence , computer science , computer vision , normalization (sociology) , face (sociological concept) , facial recognition system , computation , image (mathematics) , pattern recognition (psychology) , mathematics , algorithm , social science , combinatorics , sociology , anthropology
This research proposes a model of face recognition using the method of joining two face images from left and right lens from a stereo vision camera namely half-join method. Half-join method is used in face image normalization processing. The proposed half-join method is a face images joining model, which is called asymmetrical half-join. In asymmetrical half-join method, a RoI (region of interest) of face image from left and right lenses are provided based on axis center of each eye in eye detection. The cropping of face image from asymmetrical half-join model has different width depends on eyes coordinate location. The proposed system shows that the asymmetrical half-join method can produce a better of face recognition rate. The experimental results show that the asymmetrical half-join method has a better recognition rate and computation time than single vision method and symmetrical half-join method.