Real-time palmprint acquisition system design

M. Wong, Dapeng Zhang, W. K. Kong, G. Lu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

31 Citations (Scopus)

Abstract

Capturing high quality palmprint images in a very short time period is a fundamental step in palmprint research. While a palmprint scanner capable of this function is especially important for developing a real-time online palmprint identification system, limited research effort has been put into designing and implementing palmprint acquisition systems. In this paper, a novel palmprint acquisition system is presented, which is designed for various civilian applications such as access control, ATM etc. The novel contactless design on the user interface prevents the distortion of the palm skin introduced by the traditional glass plate of a palm scanner. The system is designed to have the best performance at reasonable price. It has a resolution of 150 dpi that is able to obtain palmprint features including the principal lines, wrinkles and ridge texture. The proposed system provides an important step for implementing a personal identification system using palmprint. Over 9,400 palmprint images were collected by the proposed system. An online palmprint identification system was then developed based on the proposed acquisition system.
Original languageEnglish
Pages (from-to)527-534
Number of pages8
JournalIEE Proceedings: Vision, Image and Signal Processing
Volume152
Issue number5
DOIs
Publication statusPublished - 1 Oct 2005

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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