Journal ArticleDOI
Face recognition
Keun-Chang Kwak,Witold Pedrycz +1 more
TLDR
This work designs classifiers based on the well-known fisherface method and demonstrates that the proposed method comes with better performance when compared with other template-based techniques and shows substantial insensitivity to large variation in light direction and facial expression.About:
This article is published in Pattern Recognition Letters.The article was published on 2005-05-01. It has received 679 citations till now. The article focuses on the topics: Facial recognition system & Fuzzy logic.read more
Citations
More filters
Journal ArticleDOI
Face recognition based on a two-view projective transformation using one sample per subject
Chen-Hui Kuo,Jiann-Der Lee +1 more
TL;DR: A novel face recognition algorithm based on geometric features to alleviate the one sample per subject problem, called the robust estimation system that greatly improves recognition performance compared with the existing methods.
Journal ArticleDOI
Patterns of Weber magnitude and orientation for uncontrolled face representation and recognition
TL;DR: This work presents a novel local feature descriptor, named patterns of Weber magnitude and orientation (PWMO), for face representation and recognition, and demonstrates that the proposed method performs much better than most of the state-of-the-arts, and achieves comparable recognition performance with the recently proposed state of theart algorithm.
Book ChapterDOI
Face Recognition from Low Resolution Images
TL;DR: It turned out that the proposed and tested algorithm is quite resistant to changing the resolution, and the recognition results are acceptable even for low-resolution images (16×20 pixels).
Journal ArticleDOI
A Bayesian Hashing approach and its application to face recognition
TL;DR: A novel method called Bayesian Hashing is introduced, which learns an optimal Hamming embedding to encode high-dimensional features to binary bits, and its application to the challenging problem of face recognition is discussed.
Proceedings ArticleDOI
Face recognition techniques (FRT) based on face ratio under controlled conditions
TL;DR: This algorithm uses the ratio's of face for the recognition and generate an eight word character code and this code is latterly used as a bar code and can be used further as authentic code for any human being.
References
More filters
Journal ArticleDOI
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
TL;DR: A face recognition algorithm which is insensitive to large variation in lighting direction and facial expression is developed, based on Fisher's linear discriminant and produces well separated classes in a low-dimensional subspace, even under severe variations in lighting and facial expressions.
Proceedings ArticleDOI
Face recognition using eigenfaces
Matthew Turk,Alex Pentland +1 more
TL;DR: An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition system which tracks a subject's head and then recognizes the person by comparing characteristics of the face to those of known individuals is described.
Journal ArticleDOI
Face recognition: features versus templates
Roberto Brunelli,Tomaso Poggio +1 more
TL;DR: Two new algorithms for computer recognition of human faces, one based on the computation of a set of geometrical features, such as nose width and length, mouth position, and chin shape, and the second based on almost-gray-level template matching are presented.
Journal ArticleDOI
The FERET database and evaluation procedure for face-recognition algorithms
TL;DR: The FERET evaluation procedure is an independently administered test of face-recognition algorithms to allow a direct comparison between different algorithms and to assess the state of the art in face recognition.
Proceedings ArticleDOI
View-based and modular eigenspaces for face recognition
Pentland,Moghaddam,Starner +2 more
TL;DR: In this paper, a view-based multiple-observer eigenspace technique is proposed for use in face recognition under variable pose, which incorporates salient features such as the eyes, nose and mouth, in an eigen feature layer.