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Journal ArticleDOI

Face recognition

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.

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Citations
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Journal ArticleDOI

Hybrid one-class classifier ensemble based on fuzzy integral for open-lexicon handwritten Arabic word recognition

TL;DR: The present paper aims to propose a combination scheme of OCCs based on the use of fuzzy integral (FI) operators to design a parameter-independent and open-lexicon handwritten Arabic word recognition system as well as a new density measure function.
DissertationDOI

Comparison of computer-based and optical face recognition paradigms

TL;DR: A selection of images from around the world can be found at www.dropbox.com/shutterfly/s3/index.htm.
Journal ArticleDOI

Homotopic Image Pseudo-Invariants for Openset Object Recognition and Image Retrieval

TL;DR: Novel homotopic image pseudo-invariants for face recognition based on pixelwise analysis is presented, which facilitates the recognition of faces and various other objects on the Internet.
Journal ArticleDOI

Robust video foreground segmentation and face recognition

TL;DR: A robust real time face recognition algorithm is presented, which combines the projection matrixes without iteration and kernel Fisher discriminant analysis (KFDA) to overcome some difficulties existing in the real face recognition.
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

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

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

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.
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