Face recognition with directional local binary patterns

Linlin Shen, Jinwen He

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


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 languageEnglish
Title of host publicationBiometric Recognition - 6th Chinese Conference, CCBR 2011, Proceedings
Number of pages7
Publication statusPublished - 2011
Externally publishedYes
Event6th Chinese Conference on Biometric Recognition, CCBR 2011 - Beijing, China
Duration: 3 Dec 20114 Dec 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7098 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th Chinese Conference on Biometric Recognition, CCBR 2011


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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)


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