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
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Book ChapterDOI
Face Recognition in Very Low Bit Rate SPIHT Compressed Facial Images
TL;DR: This paper proposes a scheme to evaluate the facial recognition performance of the very low bit rate facial images, which are compressed using SPIHT encoding and makes use of PCA and ICA methods.
Biometric Discrimination Power: Is It Mostly Hype?
TL;DR: Whether the reputation of biometric products is well deserved or based on hype is explored, and the claimed power and accuracy rates of various fingerprint and face products are evaluated by examining how these accuracy claims were reached and by determining whether claimed accuracy matches real-world performance.
Book ChapterDOI
An Enhanced Context-Aware Face Recognition Alert System for People with Hearing Impairment
TL;DR: Compared with the existing solutions, the enhanced face recognition feature included in the proposed system design, made it smart enough to know when the visitor’s image has to be snapped or not and how to reduce the transmission time of the image.
Journal ArticleDOI
Differential Morphological Profile on remote sensing images for vegetation mapping in a semi-arid region of the Algerian Saharan Atlas
TL;DR: In this paper, a new approach for mapping polygenic depressions colonised by vegetation is presented, which can be regarded as an indicator of socio-environmental conditions based on satellite image analysis.
An Acquiring Different Expression of Human Face Using Neural Network and Som.
TL;DR: This paper shows acquiring all kind of face expression of human face using neural network and Som, which reduces the error compared with existing one.
References
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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.