Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 5 Issue 6
Comparative Study of Lip Extraction Feature with Eye Feature Extraction Algorithm for Face Recognition
Aakanksha Agrawal
10.7753/IJCATR0506.1002
keywords : face recognition, feature extraction, lip extraction, eye extraction, GLCM, SIFT, SVM
In recent time, along with the advances and new inventions in science and technology, fraud people and identity thieves are also becoming smarter by finding new ways to fool the authorization and authentication process. So, there is a strong need of efficient face recognition process or computer systems capable of recognizing faces of authenticated persons. One way to make face recognition efficient is by extracting features of faces. This paper is to compare the relative efficiency of Lip Extraction and Eye extraction feature for face recognition in biometric devices. Importance of this paper is to bring to the light which Feature Extraction method provides better results under various conditions. For recognition experiments, I used face images of persons from different sets of YALE database. In my dataset, there are total 132 images consisting of 11 persons & 12 face images of each person.
@artical{a562016ijcatr05061002,
Title = "Comparative Study of Lip Extraction Feature with Eye Feature Extraction Algorithm for Face Recognition",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="6",
Pages ="330 - 337",
Year = "2016",
Authors ="Aakanksha Agrawal"}
Only Lip and Eye Features of face are considered for Feature Extraction purpose.
Viola Jone’s Algorithm is used for all kinds of detection purpose.
SIFT method is used for Lip Extraction & [GLCM+ImageJ] methods are used for Eye Extraction.
SVM classifier is used for classification purpose.