Artificial immune system for personal identification with finger vein pattern

Toshiyuki Shimooka, Koichi Shimizu

研究成果: Chapter

10 被引用数 (Scopus)

抄録

The partial template method using the concept of an immune system was developed for finger vein pattern identification. The partial templates, that is, anti-bodies were made by cutting out standard images. The template antibodies were selected based on the rules similar to the clonal selection. Two procedures for the identification were proposed and their performances were evaluated using the samples of transilluminated finger vein image. With a preliminary test system, we could distinguish the self out of several tens of nonself images. It was verified that the artificial immune system based on the partial template method is effective for the personal identification with finger vein patterns.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
編集者Mircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
出版社Springer Verlag
ページ511-518
ページ数8
ISBN(印刷版)9783540232063
DOI
出版ステータスPublished - 2004 1 1
外部発表はい

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3214
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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