A multi-finger knuckle recognition system for door handle

Shoichiro Aoyama, Koichi Ito, Takafumi Aoki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

Abstract

This paper proposes a multi-finger knuckle recognition system for a door handle. The proposed system consists of simple hardware such as a camera and a near-infrared light source. This paper has also proposed a baseline recognition algorithm for multi-finger knuckles. The proposed algorithm consists of the region of interest (ROI) extraction and ROI matching. From the captured image, the ROI around phalangeal joint is extracted using vertical and horizontal projections. There is a large deformation between extracted ROIs due to the position of hand. To address a large deformation, the proposed algorithm employs the phase-based correspondence matching to evaluate the similarity between ROIs. Through a set of experiments, we demonstrate that the proposed baseline algorithm exhibits good performance compared with the conventional finger knuckle recognition algorithms.

Original languageEnglish
Title of host publicationIEEE 6th International Conference on Biometrics
Subtitle of host publicationTheory, Applications and Systems, BTAS 2013
PublisherIEEE Computer Society
ISBN (Print)9781479905270
DOIs
Publication statusPublished - 2013
Event6th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013 - Washington, DC, United States
Duration: 2013 Sept 292013 Oct 2

Publication series

NameIEEE 6th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013

Conference

Conference6th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013
Country/TerritoryUnited States
CityWashington, DC
Period13/9/2913/10/2

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