A review on Gabor wavelets for face recognition

Linlin Shen; Li Bai

doi:10.1007/s10044-006-0033-y

A review on Gabor wavelets for face recognition

Linlin Shen, Li Bai

Research output: Journal Publication › Review article › peer-review

416 Citations (Scopus)

Abstract

Due to the robustness of Gabor features against local distortions caused by variance of illumination, expression and pose, they have been successfully applied for face recognition. The Facial Recognition Technology (FERET) evaluation and the recent Face Verification Competition (FVC2004) have seen the top performance of Gabor feature based methods. This paper aims to give a detailed survey of state of the art 2D face recognition algorithms using Gabor wavelets for feature extraction. Existing problems are covered and possible solutions are suggested.

Original language	English
Pages (from-to)	273-292
Number of pages	20
Journal	Pattern Analysis and Applications
Volume	9
Issue number	2-3
DOIs	https://doi.org/10.1007/s10044-006-0033-y
Publication status	Published - Oct 2006
Externally published	Yes

Keywords

Face recognition
Gabor wavelets
Joint time-frequency analysis

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1007/s10044-006-0033-y

Cite this

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abstract = "Due to the robustness of Gabor features against local distortions caused by variance of illumination, expression and pose, they have been successfully applied for face recognition. The Facial Recognition Technology (FERET) evaluation and the recent Face Verification Competition (FVC2004) have seen the top performance of Gabor feature based methods. This paper aims to give a detailed survey of state of the art 2D face recognition algorithms using Gabor wavelets for feature extraction. Existing problems are covered and possible solutions are suggested.",

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AB - Due to the robustness of Gabor features against local distortions caused by variance of illumination, expression and pose, they have been successfully applied for face recognition. The Facial Recognition Technology (FERET) evaluation and the recent Face Verification Competition (FVC2004) have seen the top performance of Gabor feature based methods. This paper aims to give a detailed survey of state of the art 2D face recognition algorithms using Gabor wavelets for feature extraction. Existing problems are covered and possible solutions are suggested.

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KW - Gabor wavelets

KW - Joint time-frequency analysis

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A review on Gabor wavelets for face recognition

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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