On accurate orientation extraction and appropriate distance measure for low-resolution palmprint recognition

Wangmeng Zuo, Feng Yue, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)


Orientation feature has been demonstrated to be one of the most effective features for low resolution palmprint recognition. In this paper, using steerable filter, we investigate the accurate orientation extraction and appropriate distance measure problems for effective palmprint recognition. First, we use high order steerable filter to extract accurate continuous orientation, and quantify it into discrete representation. Then, for effective matching of accurate orientations, we propose a generalized orientation distance measure. We further extend the distance measure for matching of discrete orientations, and show that several existing distance measures can be viewed as its special cases. Experimental results on both Hong Kong PolyU and CASIA palmprint databases show that the proposed method can obtain state-of-the-art verification accuracy. With the support of a look up table, the proposed method also enables small template size and satisfactory matching speed for practical applications.
Original languageEnglish
Pages (from-to)964-972
Number of pages9
JournalPattern Recognition
Issue number4
Publication statusPublished - 1 Apr 2011


  • Distance measure
  • Feature extraction
  • Palmprint verification
  • Steerable filter

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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