Level 2 Features with Feedback Mechanism for Toddler Fingerprint Recognition

I. Gede Wahyu Surya Dharma, M. Anwar Marsum, Wisnu Jatmiko, M. H. Hilman

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

Abstract

This study is carried out to improve matching accuracy between level 1 feature and level 2 feature of a fingerprint by applying feedback mechanism. Level 1 feature consists of ridge frequency and orientation while level 2 feature consists of minutia point coordinate and orientation. The matching accuracy of level 1 feature slightly lower compared with level 2 feature and the accuracy even higher when applying feedback mechanism. The toddler fingerprint image that used in this study consist of 400 images from 7 toddlers that obtained by the author. The matching accuracy of level 2 feature improved approximately around 18.6% when both feedback mechanism employed, and 14.5% without feedback mechanism on both sides compared to level 1 feature accuracy.

Original languageEnglish
Title of host publication2018 International Workshop on Big Data and Information Security, IWBIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages117-122
Number of pages6
ISBN (Electronic)9781538655252
DOIs
Publication statusPublished - 24 Sep 2018
Event2018 International Workshop on Big Data and Information Security, IWBIS 2018 - Balai Kartini, Jakarta, Indonesia
Duration: 12 May 201813 May 2018

Publication series

Name2018 International Workshop on Big Data and Information Security, IWBIS 2018

Conference

Conference2018 International Workshop on Big Data and Information Security, IWBIS 2018
Country/TerritoryIndonesia
CityBalai Kartini, Jakarta
Period12/05/1813/05/18

Keywords

  • Feedback Mechanism
  • Minutia
  • Ridge
  • Toddler fingerprint recognition

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