Circular construction of iris feature vectors for human iris recognition systems

Li Na, Danu Widatama, Tony Mulia, Benyamin Kusumo Putro

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

Abstract

In this paper, the authors propose a new method to construct feature vectors of human iris based on circular technique. Since an iris has a circular shape, the circular construction of the iris feature vector is expected to have higher ability to capture iris' characteristics. Different from the conventional method which constructs iris feature vectors through left to right scanning process, the circular technique scans the pixel-intensity value of iris circularly. As the result, the length of the constructed feature vectors is dependent on the length of iris' radius. In the experiments, various recognition methods of feature vectors were compared. The iris recognition results show that the proposed system with Statistical Euclidean Distance method gives the highest recognition accuracy with 84.5%.

Original languageEnglish
Title of host publicationMaterials Engineering and Automatic Control II
Pages991-995
Number of pages5
DOIs
Publication statusPublished - 19 Jul 2013
Event2nd International Conference on Materials Engineering and Automatic Control, ICMEAC 2013 - Shandong, China
Duration: 18 May 201319 May 2013

Publication series

NameApplied Mechanics and Materials
Volume330
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Materials Engineering and Automatic Control, ICMEAC 2013
CountryChina
CityShandong
Period18/05/1319/05/13

Keywords

  • Backpropagation neural networks (BPNN)
  • Circular construction
  • Iris feature vectors
  • Iris recognition system

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  • Cite this

    Na, L., Widatama, D., Mulia, T., & Putro, B. K. (2013). Circular construction of iris feature vectors for human iris recognition systems. In Materials Engineering and Automatic Control II (pp. 991-995). (Applied Mechanics and Materials; Vol. 330). https://doi.org/10.4028/www.scientific.net/AMM.330.991