A Novel Line-Scan Palmprint Acquisition System

Xiaofeng Qu, Dapeng Zhang, Guangming Lu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Biometric recognition systems have been widely used globally. However, one effective and highly accurate biometric authentication method, palmprint recognition, has not been popularly applied as it should have been, which could be due to the lack of small, flexible and user-friendly acquisition systems. To expand the use of palmprint biometrics, we propose a novel palmprint acquisition system based on the line-scan image sensor. The proposed system consists of a customized and highly integrated line-scan sensor, a self-adaptive synchronizing unit, and a field-programmable gate array controller with a cross-platform interface. The volume of the proposed system is over 94% smaller than the volume of existing palmprint systems, without compromising its verification performance. The verification performance of the proposed system was tested on a database of 8000 samples collected from 250 people, and the equal error rate is 0.048%, which is comparable to the best area camera-based systems.
Original languageEnglish
Article number7390297
Pages (from-to)1481-1491
Number of pages11
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume46
Issue number11
DOIs
Publication statusPublished - 1 Nov 2016

Keywords

  • Identification of persons
  • image processing
  • image sensors
  • optical imaging
  • pattern recognition

ASJC Scopus subject areas

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

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