Face recognition based on phase-feature

Wei Jiang; Kin Man Lam; Ting Zhi Shen

Face recognition based on phase-feature

Wei Jiang, Kin Man Lam, Ting Zhi Shen

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Gabor wavelets (GWs) have been commonly used to extract local features for various applications. Because extracting the Gabor features is computationally intensive, the simplified GW (SGW) has been proposed. In this paper, we propose a novel face recognition algorithm based on the histogram of the SGW phase. In our algorithm, we employ the affinity propagation method to cluster face images for classification. When compared to other conventional face recognition methods, our proposed method can achieve a better performance in terms of both recognition accuracy and tolerance to illumination variations.

Original language	English
Title of host publication	APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference
Pages	672-675
Number of pages	4
Publication status	Published - 1 Dec 2009
Event	Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 - Sapporo, Japan Duration: 4 Oct 2009 → 7 Oct 2009

Conference

Conference	Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009
Country/Territory	Japan
City	Sapporo
Period	4/10/09 → 7/10/09

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Electrical and Electronic Engineering
Communication

Cite this

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title = "Face recognition based on phase-feature",

abstract = "Gabor wavelets (GWs) have been commonly used to extract local features for various applications. Because extracting the Gabor features is computationally intensive, the simplified GW (SGW) has been proposed. In this paper, we propose a novel face recognition algorithm based on the histogram of the SGW phase. In our algorithm, we employ the affinity propagation method to cluster face images for classification. When compared to other conventional face recognition methods, our proposed method can achieve a better performance in terms of both recognition accuracy and tolerance to illumination variations.",

author = "Wei Jiang and Lam, {Kin Man} and Shen, {Ting Zhi}",

year = "2009",

month = dec,

day = "1",

language = "English",

pages = "672--675",

booktitle = "APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference",

note = "Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 ; Conference date: 04-10-2009 Through 07-10-2009",

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TY - GEN

T1 - Face recognition based on phase-feature

AU - Jiang, Wei

AU - Lam, Kin Man

AU - Shen, Ting Zhi

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Gabor wavelets (GWs) have been commonly used to extract local features for various applications. Because extracting the Gabor features is computationally intensive, the simplified GW (SGW) has been proposed. In this paper, we propose a novel face recognition algorithm based on the histogram of the SGW phase. In our algorithm, we employ the affinity propagation method to cluster face images for classification. When compared to other conventional face recognition methods, our proposed method can achieve a better performance in terms of both recognition accuracy and tolerance to illumination variations.

AB - Gabor wavelets (GWs) have been commonly used to extract local features for various applications. Because extracting the Gabor features is computationally intensive, the simplified GW (SGW) has been proposed. In this paper, we propose a novel face recognition algorithm based on the histogram of the SGW phase. In our algorithm, we employ the affinity propagation method to cluster face images for classification. When compared to other conventional face recognition methods, our proposed method can achieve a better performance in terms of both recognition accuracy and tolerance to illumination variations.

UR - http://www.scopus.com/inward/record.url?scp=77950550631&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SP - 672

EP - 675

BT - APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference

T2 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009

Y2 - 4 October 2009 through 7 October 2009

ER -

Face recognition based on phase-feature

Abstract

Conference

ASJC Scopus subject areas

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