International Journal of Electrical and Computer Engineering
Vol 7, No 6: December 2017

Asymmetrical Half-join Method on Dual Vision Face Recognition

Edy Winarno (Universitas Stikubank, Semarang, Indonesia)
Imam Husni Al Amin (Universitas Stikubank, Semarang, Indonesia)
Wiwien Hadikurniawati (Universitas Stikubank, Semarang, Indonesia)



Article Info

Publish Date
01 Dec 2017

Abstract

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.

Copyrights © 2017






Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...