Title :
Face recognition: A holistic approach review
Author :
Zafaruddin, Ghazi Mohammed ; Fadewar, H.S.
Author_Institution :
Dept. of MCA, Millennium Inst. of Manage., Aurangabad, India
Abstract :
Face recognition has become more significant and relevant in recent years owing to its potential applications. Face recognition has far reaching benefits to corporations, the government and the greater society. Face recognition is basically identifying individuals by their faces. There are many face recognition approaches which are generally classified as feature based and holistic approaches. Presently there are a very small number of studies which compare both these approaches. There is a tremendous increase in face recognition research nowadays; primarily because of the various negative events taking place around the globe. With the increase in the number of proposed algorithms and techniques the survey and evaluation of these algorithms and techniques becomes more vital to provide a boost to the research activities. The primary aim of this paper is to provide a critical summary of the existing literature on human face recognition over the past decade with special reference to holistic approaches to face detection.
Keywords :
face recognition; feature extraction; image classification; principal component analysis; face detection; face recognition approach; face recognition research; feature classification; holistic approach; human face recognition approach; Face; Face detection; Face recognition; Feature extraction; Principal component analysis; Vectors; Artificial Neural Networks (ANN); Eigenface; Face Detection; Face Recognition; Face Recognition System (FRS); Fuzzy Theory; PCA (Principal Component Analysis);
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
DOI :
10.1109/IC3I.2014.7019610