An integration of biometrics and mobile computing for personal identification

Jia You, K. H. Cheung, Q. Li, P. Bhattacharya

Research output: Journal article publicationConference articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper presents a new approach to efficient and effective personal identification for the security of network access by combining techniques in biometrics and mobile computing. To overcome the limitations of the existing password-based authentication services on the Internet, we propose a dynamic feature selection scheme to extract multiple personal features and integrate them in a hierarchical structure for fast and reliable identity authentication. To increase the speed and flexibility of the process, we use mobile agents as a navigational tool for parallel implementation in a distributed environment, which includes hierarchical biometric feature extraction, multiple feature integration, dynamic biometric data indexing and guided search.
Original languageEnglish
Pages (from-to)226-235
Number of pages10
JournalLecture Notes in Computer Science
Volume3687
Issue numberPART II
Publication statusPublished - 4 Nov 2005
EventThird International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, United Kingdom
Duration: 22 Aug 200525 Aug 2005

Keywords

  • Biometrics computing
  • Feature extraction and indexing
  • Guided search
  • Identity authentication and verification
  • Mobile computing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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