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Ocular Recognition for Blinking Eyes.

Authors
  • Liu, Peizhong
  • Guo, Jing-Ming
  • Tseng, Szu-Han
  • Wong, KokSheik
  • Lee, Jiann-Der
  • Yao, Chen-Chieh
  • Zhu, Daxin
Type
Published Article
Journal
IEEE Transactions on Image Processing
Publisher
Institute of Electrical and Electronics Engineers
Publication Date
Jun 07, 2017
Identifiers
DOI: 10.1109/TIP.2017.2713041
PMID: 28600245
Source
Medline
License
Unknown

Abstract

Ocular recognition is expected to provide a higher flexibility in handling practical applications as oppose to the iris recognition, which only works for the ideal open-eye case. However, the accuracy of the recent efforts is still far from satisfactory at uncontrollable conditions, such as eye blinking which implies any poses of eyes. To address these issues, the skin texture, eyelids, and additional geometrical features are employed. In addition, to achieve higher accuracy, sequential forward floating selection (SFFS) is utilized to select the best feature combinations. Finally, the non-linear SVM is applied for identification purpose. Experimental results demonstrate that the proposed algorithm achieves the best accuracy for both open eye and blinking eye scenarios. As a result, it offers greater flexibility for the prospective subjects during recognition as well as higher reliability for security.

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