Evaluation of a fingerprint identification algorithm with SIFT features

Ali Ismail Awad, Kensuke Baba

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

In fingerprint identification, the short identification time is a crucial need. The identification time can be estimated according to the number of conducted matching processes multiplied by the consumed time by a single matching process. The Matching Score Matrix is an existing identification algorithm that reduces the number of matching processes. This paper evaluates the algorithm with the features extracted from fingerprint images by SIFT. The processing time and the accuracy are compared with those of the straightforward method based on the linear search. The evaluation results prove the applicability of the algorithm to fingerprint identification using SIFT features.

Original languageEnglish
Title of host publicationProceedings of the 2012 IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012
Pages129-132
Number of pages4
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event1st IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012 - Fukuoka, Japan
Duration: Sep 20 2012Sep 22 2012

Publication series

NameProceedings of the 2012 IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012

Conference

Conference1st IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012
CountryJapan
CityFukuoka
Period9/20/129/22/12

Keywords

  • Biometrics
  • Fingerprint
  • Personal identification
  • SIFT

ASJC Scopus subject areas

  • Information Systems

Cite this