Artificial immune system for personal identification with finger vein pattern

Toshiyuki Shimooka, Koichi Shimizu

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
PublisherSpringer Verlag
Pages511-518
Number of pages8
ISBN (Print)9783540232063
DOIs
Publication statusPublished - 2004 Jan 1
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3214
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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