Face recognition with directional local binary patterns

Linlin Shen; Jinwen He

doi:10.1007/978-3-642-25449-9_2

Face recognition with directional local binary patterns

Linlin Shen, Jinwen He

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

A novel local feature descriptor, namely Directional Local Binary Patterns (DLBP), was proposed in this paper and applied for face recognition. The descriptor first extracts directional edge information, then codes these information using Local Binary Patterns (LBP). When applied for face recognition, a face image is divided into a number of small sub-windows, DLBP histogram extracted from each sub-window are then concatenated to form a global description of the face. The proposed method was extensively evaluated on two publicly available databases, i.e. the FERET face database and the PolyU-NIRFD near-infrared face database. Experimental results show advantages of DLBP over LBP and Directional Binary Code (DBC).

Original language	English
Title of host publication	Biometric Recognition - 6th Chinese Conference, CCBR 2011, Proceedings
Pages	10-16
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-642-25449-9_2
Publication status	Published - 2011
Externally published	Yes
Event	6th Chinese Conference on Biometric Recognition, CCBR 2011 - Beijing, China Duration: 3 Dec 2011 → 4 Dec 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7098 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th Chinese Conference on Biometric Recognition, CCBR 2011
Country/Territory	China
City	Beijing
Period	3/12/11 → 4/12/11

Keywords

Directional Binary Code
Directional Local Binary Patterns
Face Recognition
Local Binary Patterns

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-25449-9_2

Cite this

@inproceedings{26ecc853ce4141cea777cd160b5e5450,

title = "Face recognition with directional local binary patterns",

abstract = "A novel local feature descriptor, namely Directional Local Binary Patterns (DLBP), was proposed in this paper and applied for face recognition. The descriptor first extracts directional edge information, then codes these information using Local Binary Patterns (LBP). When applied for face recognition, a face image is divided into a number of small sub-windows, DLBP histogram extracted from each sub-window are then concatenated to form a global description of the face. The proposed method was extensively evaluated on two publicly available databases, i.e. the FERET face database and the PolyU-NIRFD near-infrared face database. Experimental results show advantages of DLBP over LBP and Directional Binary Code (DBC).",

keywords = "Directional Binary Code, Directional Local Binary Patterns, Face Recognition, Local Binary Patterns",

author = "Linlin Shen and Jinwen He",

year = "2011",

doi = "10.1007/978-3-642-25449-9_2",

language = "English",

isbn = "9783642254482",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "10--16",

booktitle = "Biometric Recognition - 6th Chinese Conference, CCBR 2011, Proceedings",

note = "6th Chinese Conference on Biometric Recognition, CCBR 2011 ; Conference date: 03-12-2011 Through 04-12-2011",

}

Shen, L & He, J 2011, Face recognition with directional local binary patterns. in Biometric Recognition - 6th Chinese Conference, CCBR 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7098 LNCS, pp. 10-16, 6th Chinese Conference on Biometric Recognition, CCBR 2011, Beijing, China, 3/12/11. https://doi.org/10.1007/978-3-642-25449-9_2

Face recognition with directional local binary patterns. / Shen, Linlin; He, Jinwen.
Biometric Recognition - 6th Chinese Conference, CCBR 2011, Proceedings. 2011. p. 10-16 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7098 LNCS).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Face recognition with directional local binary patterns

AU - Shen, Linlin

AU - He, Jinwen

PY - 2011

Y1 - 2011

N2 - A novel local feature descriptor, namely Directional Local Binary Patterns (DLBP), was proposed in this paper and applied for face recognition. The descriptor first extracts directional edge information, then codes these information using Local Binary Patterns (LBP). When applied for face recognition, a face image is divided into a number of small sub-windows, DLBP histogram extracted from each sub-window are then concatenated to form a global description of the face. The proposed method was extensively evaluated on two publicly available databases, i.e. the FERET face database and the PolyU-NIRFD near-infrared face database. Experimental results show advantages of DLBP over LBP and Directional Binary Code (DBC).

AB - A novel local feature descriptor, namely Directional Local Binary Patterns (DLBP), was proposed in this paper and applied for face recognition. The descriptor first extracts directional edge information, then codes these information using Local Binary Patterns (LBP). When applied for face recognition, a face image is divided into a number of small sub-windows, DLBP histogram extracted from each sub-window are then concatenated to form a global description of the face. The proposed method was extensively evaluated on two publicly available databases, i.e. the FERET face database and the PolyU-NIRFD near-infrared face database. Experimental results show advantages of DLBP over LBP and Directional Binary Code (DBC).

KW - Directional Binary Code

KW - Directional Local Binary Patterns

KW - Face Recognition

KW - Local Binary Patterns

UR - http://www.scopus.com/inward/record.url?scp=81155133308&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-25449-9_2

DO - 10.1007/978-3-642-25449-9_2

M3 - Conference contribution

AN - SCOPUS:81155133308

SN - 9783642254482

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 10

EP - 16

BT - Biometric Recognition - 6th Chinese Conference, CCBR 2011, Proceedings

T2 - 6th Chinese Conference on Biometric Recognition, CCBR 2011

Y2 - 3 December 2011 through 4 December 2011

ER -

Face recognition with directional local binary patterns

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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