Face recognition accuracy of Gabor phase representations at different scales and orientations

Iqbal Nouyed; Bruce Poon; M. Ashraful Amin; Hong Yan

doi:10.1109/ICMLC.2011.6017000

Face recognition accuracy of Gabor phase representations at different scales and orientations

Iqbal Nouyed
, Bruce Poon
, M. Ashraful Amin
, Hong Yan

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

The classification capability of 40 different basic Gabor phase representations for human face recognition is examined in this paper. The results show that, among all 40 basic Gabor phase based feature representations, the filter responses acquired from the larger scales show the higher discriminating ability for face recognition. © 2011 IEEE.

Original language	English
Title of host publication	Proceedings - International Conference on Machine Learning and Cybernetics
Pages	1767-1772
Volume	4
DOIs	https://doi.org/10.1109/ICMLC.2011.6017000
Publication status	Published - 2011
Event	2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011 - Guilin, Guangxi, China Duration: 10 Jul 2011 → 13 Jul 2011

Publication series

Name
Volume	4
ISSN (Print)	2160-133X
ISSN (Electronic)	2160-1348

Conference

Conference	2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
Place	China
City	Guilin, Guangxi
Period	10/07/11 → 13/07/11

Research Keywords

Face recognition
Gabor
Gabor magnitude
Gabor phase
Histogram Intersection
Local Gabor Binary Pattern

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10.1109/ICMLC.2011.6017000

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Cite this

@inproceedings{8f8887909a3d4661b51c89d9dec05d4a,

title = "Face recognition accuracy of Gabor phase representations at different scales and orientations",

abstract = "The classification capability of 40 different basic Gabor phase representations for human face recognition is examined in this paper. The results show that, among all 40 basic Gabor phase based feature representations, the filter responses acquired from the larger scales show the higher discriminating ability for face recognition. {\textcopyright} 2011 IEEE.",

keywords = "Face recognition, Gabor, Gabor magnitude, Gabor phase, Histogram Intersection, Local Gabor Binary Pattern",

author = "Iqbal Nouyed and Bruce Poon and Amin, \{M. Ashraful\} and Hong Yan",

year = "2011",

doi = "10.1109/ICMLC.2011.6017000",

language = "English",

isbn = "9781457703065",

volume = "4",

pages = "1767--1772",

booktitle = "Proceedings - International Conference on Machine Learning and Cybernetics",

note = "2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011 ; Conference date: 10-07-2011 Through 13-07-2011",

}

Nouyed, I, Poon, B, Amin, MA & Yan, H 2011, Face recognition accuracy of Gabor phase representations at different scales and orientations. in Proceedings - International Conference on Machine Learning and Cybernetics. vol. 4, 6017000, pp. 1767-1772, 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011, Guilin, Guangxi, China, 10/07/11. https://doi.org/10.1109/ICMLC.2011.6017000

Face recognition accuracy of Gabor phase representations at different scales and orientations. / Nouyed, Iqbal; Poon, Bruce; Amin, M. Ashraful et al.
Proceedings - International Conference on Machine Learning and Cybernetics. Vol. 4 2011. p. 1767-1772 6017000.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Face recognition accuracy of Gabor phase representations at different scales and orientations

AU - Nouyed, Iqbal

AU - Poon, Bruce

AU - Amin, M. Ashraful

AU - Yan, Hong

PY - 2011

Y1 - 2011

N2 - The classification capability of 40 different basic Gabor phase representations for human face recognition is examined in this paper. The results show that, among all 40 basic Gabor phase based feature representations, the filter responses acquired from the larger scales show the higher discriminating ability for face recognition. © 2011 IEEE.

AB - The classification capability of 40 different basic Gabor phase representations for human face recognition is examined in this paper. The results show that, among all 40 basic Gabor phase based feature representations, the filter responses acquired from the larger scales show the higher discriminating ability for face recognition. © 2011 IEEE.

KW - Face recognition

KW - Gabor

KW - Gabor magnitude

KW - Gabor phase

KW - Histogram Intersection

KW - Local Gabor Binary Pattern

UR - https://www.scopus.com/pages/publications/80155206850

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-80155206850&origin=recordpage

U2 - 10.1109/ICMLC.2011.6017000

DO - 10.1109/ICMLC.2011.6017000

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781457703065

VL - 4

SP - 1767

EP - 1772

BT - Proceedings - International Conference on Machine Learning and Cybernetics

T2 - 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011

Y2 - 10 July 2011 through 13 July 2011

ER -

Face recognition accuracy of Gabor phase representations at different scales and orientations

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Research Keywords

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