Wrinkle of fingers based robust person identification

Fu Hsiang Chan, Duan Yu Chen, Jun-Wei Hsieh, Chi Hung Chuang

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

1 Scopus citations

Abstract

This paper proposed a novel biometric identification system through 2D fingers' geometry measurements. First, the right middle finger and index finger are captured using a CCD camera. Then the fingers are segmented out from background based on skin colors. Splitting out two fingers based on their contours, multiple features such as the length, mean width, finger shape vector and wrinkle texture are computed and consequently are used for person identification. Experiments show that our proposed method can perform well in real time with the recognition rate being up to 97%.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Machine Learning and Cybernetics, ICMLC 2014
PublisherIEEE Computer Society
Pages871-875
Number of pages5
ISBN (Electronic)9781479942169
DOIs
StatePublished - 13 Jan 2014
Event13th International Conference on Machine Learning and Cybernetics, ICMLC 2014 - Lanzhou, China
Duration: 13 Jul 201416 Jul 2014

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume2
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference13th International Conference on Machine Learning and Cybernetics, ICMLC 2014
CountryChina
CityLanzhou
Period13/07/1416/07/14

Keywords

  • Finger shape recognition
  • Person identification
  • Wrinkle of fingers

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    Chan, F. H., Chen, D. Y., Hsieh, J-W., & Chuang, C. H. (2014). Wrinkle of fingers based robust person identification. In Proceedings of 2014 International Conference on Machine Learning and Cybernetics, ICMLC 2014 (pp. 871-875). [7009724] (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ICMLC.2014.7009724