Palmprint verification using consistent orientation coding

Zhenhua Guo, Wangmeng Zuo, Lei Zhang, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)


Developing accurate and robust palmprint verification algorithms is one of the key issues in automatic palmprint recognition systems. Recently, orientation based coding algorithms, such as Competitive Code (CompCode) and Orthogonal Line Ordinal Features (OLOF), have been proposed and have been attracting much research attention. Such algorithms could achieve high accuracy with high feature matching speed for real time implementation. By investigating the relationship between these two different coding schemes, we propose in this paper a feature-level fusion scheme for palmprint verification. Only the stable features which are consistent between the two codes are extracted for matching. The experimental results on the public palmprint database show that the proposed fusion code could achieve at least 14% EER (Equal Error Rate) reduction compared with either of the original codes.
Original languageEnglish
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Number of pages4
ISBN (Print)9781424456543
Publication statusPublished - 1 Jan 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: 7 Nov 200910 Nov 2009


Conference2009 IEEE International Conference on Image Processing, ICIP 2009


  • Feature-level fusion
  • Orientation coding
  • Palmprint verification

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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