A robust face recognition method using edge-based features
A robust face recognition method using edge-based features
Face recognition, as one of the most interesting and successful applications of image understanding and machine vision, has grown a lot of attention during the past years. Basically human faces are very similar in structure with minor differences from person to person. In this paper a new robust face recognition method is proposed which exploit edge-based features of faces. The performance of this method is independent from the scenario of face recognition. Difficult scenarios of face recognition are including pose variation, illumination conditions, scale variability, images taken years apart, glasses, moustaches, beards, and low quality image. © 2012 IEEE.
Authentication, Face Recognition, Feature Extraction, Human Identification
185-188
Reza, Moradi Rad
01ef5698-6ee3-4b92-984a-f9ad1ea8771a
Attar, Rahman
339151ef-560e-4ff1-b907-09a452eab488
Reza, Ebrahimi Atani
40f4f14a-bc28-4cc3-bfeb-d35b52690c3d
18 March 2012
Reza, Moradi Rad
01ef5698-6ee3-4b92-984a-f9ad1ea8771a
Attar, Rahman
339151ef-560e-4ff1-b907-09a452eab488
Reza, Ebrahimi Atani
40f4f14a-bc28-4cc3-bfeb-d35b52690c3d
Reza, Moradi Rad, Attar, Rahman and Reza, Ebrahimi Atani
(2012)
A robust face recognition method using edge-based features.
In,
2012 IEEE Symposium on Computers and Informatics, ISCI 2012.
(2012 IEEE Symposium on Computers and Informatics, ISCI 2012)
.
(doi:10.1109/ISCI.2012.6222691).
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Abstract
Face recognition, as one of the most interesting and successful applications of image understanding and machine vision, has grown a lot of attention during the past years. Basically human faces are very similar in structure with minor differences from person to person. In this paper a new robust face recognition method is proposed which exploit edge-based features of faces. The performance of this method is independent from the scenario of face recognition. Difficult scenarios of face recognition are including pose variation, illumination conditions, scale variability, images taken years apart, glasses, moustaches, beards, and low quality image. © 2012 IEEE.
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Published date: 18 March 2012
Keywords:
Authentication, Face Recognition, Feature Extraction, Human Identification
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Local EPrints ID: 502143
URI: http://eprints.soton.ac.uk/id/eprint/502143
PURE UUID: 34c702dc-1cc1-4e95-866f-aca65bdf891f
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Date deposited: 17 Jun 2025 16:45
Last modified: 17 Jun 2025 17:00
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Contributors
Author:
Moradi Rad Reza
Author:
Rahman Attar
Author:
Ebrahimi Atani Reza
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