Fingerprint matching using dual hilbert scans

Li Tian*, Liang Chen, Sei Ichiro Kamata

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

A new fingerprint matching algorithm using dual Hilbert scans is presented in this study. We treat the fingerprint matching as point pattern matching problem and Hilbert scans are used in two aspects of the matching problem: one is applied to the similarity measure and the other is used in search space reduction. The similarity measure named Hilbert Scanning Distance (HSD) can be computed fast by converting the 2-D coordinates of 2-D images into 1-D space information using Hilbert scan. On the other hand, the 3-D search space can be converted to a 1-D search space sequence. The proposed method has been tested on FVC2002 database. The experimental results show that our method can implement fingerprint matching robustly and efficiently. The performance evaluation EER (Equal-Error Rate) generally used is very low by our algorithm.

本文言語English
ホスト出版物のタイトルProceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007
ページ593-600
ページ数8
DOI
出版ステータスPublished - 2007 12 1
イベント3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07 - Jiangong Jinjiang, Shanghai, China
継続期間: 2007 12 162007 12 18

出版物シリーズ

名前Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007

Conference

Conference3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07
国/地域China
CityJiangong Jinjiang, Shanghai
Period07/12/1607/12/18

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • コンピュータ ネットワークおよび通信
  • 信号処理

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