Improving biometric authentication performance from the user quality

Ajay Kumar Pathak, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

54 Citations (Scopus)

Abstract

The effectiveness of a biometric measurement and sensing system is directly related to the performance generated from sensed data. This paper investigates a new approach to quantify the quality of sensed data from the user templates. The objective is to incorporate the quality of sensed data to generate a reliable estimate on the matching scores. The proposed method of extracting user quality is based on the confidence of generating reliable matching scores from the user templates. We simultaneously extract the palmprint and hand-shape images from the single hand image and ascertain the performance improvement for the individual trait. The experimental results from the proposed approach are also presented when the biometric measurements from the finger knuckles are employed. The experimental results presented in this paper show significant improvement in performance while incorporating the proposed method of user quality in the matching stages. The proposed user-quality-based fusion of the two biometric modalities also achieves promising improvement in performance.
Original languageEnglish
Article number5288593
Pages (from-to)730-735
Number of pages6
JournalIEEE Transactions on Instrumentation and Measurement
Volume59
Issue number3
DOIs
Publication statusPublished - 1 Mar 2010

Keywords

  • Biometric quality
  • Biometrics
  • Finger knuckle
  • Hand geometry
  • Palmprint
  • Personal authentication
  • User quality

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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