Online palmprint identification

Dapeng Zhang, Wai Kin Kong, Jia You, Michael Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1122 Citations (Scopus)

Abstract

Biometrics-based personal identification is regarded as an effective method for automatically recognizing, with a high confidence, a person's identity. This paper presents a new biometric approach to online personal identification using palmprint technology. In contrast to the existing methods, our online palmprint identification system employs low-resolution palmprint images to achieve effective personal identification. The system consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition. A robust image coordinate system is defined to facilitate image alignment for feature extraction. In addition, a 2D Gabor phase encoding scheme is proposed for palmprint feature extraction and representation. The experimental results demonstrate the feasibility of the proposed system.
Original languageEnglish
Pages (from-to)1041-1050
Number of pages10
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume25
Issue number9
DOIs
Publication statusPublished - 1 Sep 2003

Keywords

  • Biometrics
  • Low-resolution image
  • Online palmprint identification
  • Texture analysis

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

Cite this