Palm line extraction and matching for personal authentication

Xiangqian Wu, Kuanquan Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

135 Citations (Scopus)

Abstract

The palm print is a new and emerging biometric feature for personal recognition. The stable line features or “palm lines,” which are comprised of principal lines and wrinkles, can be used to clearly describe a palm print and can be extracted in low-resolution images. This paper presents a novel approach to palm line extraction and matching for use in personal authentication. To extract palm lines, a set of directional line detectors is devised, and then these detectors are used to extract these lines in different directions. To avoid losing the details of the palm line structure, these irregular lines are represented using their chain code. To match palm lines, a matching score is defined between two palm prints according to the points of their palm lines. The experimental results show that the proposed approach can effectively discriminate between palm prints even when the palm prints are dirty. The storage and speed of the proposed approach can satisfy the requirements of a real-time biometric system.
Original languageEnglish
Pages (from-to)978-987
Number of pages10
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans
Volume36
Issue number5
DOIs
Publication statusPublished - 1 Jan 2006

Keywords

  • Biometrics
  • chain code
  • line extraction
  • line matching
  • palm line
  • palm print recognition

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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