Model of Bayesian tangent eye shape for eye capture

Asama Kuder Nsaef, Azizah Jaafar, Layth Sliman, Riza Sulaiman, Rahmita Wirza Rahmat

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

1 Citation (Scopus)

Abstract

Iris recognition system captures an image of an individual's eye. In addition, the process of segmentation, normalization and feature extraction is followed by the iris of an eye image in the system. Using the algorithms proposed by J. Daugman, Iris recognition system has significantly improved over the last decade, and it has been used in so many practical applications. However, some difficulties related to Iris position and movement are still to be improved. To overcome these difficulties one can enhance the image acquisition process. Obtaining a method in extracting quality of eye images automatically from the video stream is the main area of interest in this study. Besides, a Bayesian inference solution called Bayesian Tangent Eye Shape Model (BTESM) was suggested depending on estimation of tangent shape. During image acquisition, constraints on the position and motion of the subjects can be decreased owing to this approach. Owing to maximum a posteriori estimation, we can identify similarity transform coefficients as well as the eye shape parameters in BTESM. To apply the maximum a posteriori procedure, tangent Eye shape vector was considered the state of the model which is hidden and expectation maximization depending on searching algorithm was adopted. Hence, after being tested and matched to future studies, the acquisitioned eye image has been proved to be adequate for Iris recognition system.

Original languageEnglish
Title of host publicationInternational Conference on Intelligent Systems Design and Applications, ISDA
PublisherIEEE Computer Society
Pages82-88
Number of pages7
Volume2015-January
ISBN (Print)9781479979387
DOIs
Publication statusPublished - 23 Mar 2015
Event2014 14th International Conference on Intelligent Systems Design and Applications, ISDA 2014 - Okinawa, Japan
Duration: 28 Nov 201430 Nov 2014

Other

Other2014 14th International Conference on Intelligent Systems Design and Applications, ISDA 2014
CountryJapan
CityOkinawa
Period28/11/1430/11/14

Fingerprint

Image acquisition
Feature extraction

Keywords

  • Bayesian Tangent Eye Shape Model
  • Estimation of eye position
  • Eye detection
  • Iris recognition based on video
  • Iris Recognition on the move

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Control and Systems Engineering

Cite this

Nsaef, A. K., Jaafar, A., Sliman, L., Sulaiman, R., & Rahmat, R. W. (2015). Model of Bayesian tangent eye shape for eye capture. In International Conference on Intelligent Systems Design and Applications, ISDA (Vol. 2015-January, pp. 82-88). [7066277] IEEE Computer Society. https://doi.org/10.1109/ISDA.2014.7066277

Model of Bayesian tangent eye shape for eye capture. / Nsaef, Asama Kuder; Jaafar, Azizah; Sliman, Layth; Sulaiman, Riza; Rahmat, Rahmita Wirza.

International Conference on Intelligent Systems Design and Applications, ISDA. Vol. 2015-January IEEE Computer Society, 2015. p. 82-88 7066277.

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

Nsaef, AK, Jaafar, A, Sliman, L, Sulaiman, R & Rahmat, RW 2015, Model of Bayesian tangent eye shape for eye capture. in International Conference on Intelligent Systems Design and Applications, ISDA. vol. 2015-January, 7066277, IEEE Computer Society, pp. 82-88, 2014 14th International Conference on Intelligent Systems Design and Applications, ISDA 2014, Okinawa, Japan, 28/11/14. https://doi.org/10.1109/ISDA.2014.7066277
Nsaef AK, Jaafar A, Sliman L, Sulaiman R, Rahmat RW. Model of Bayesian tangent eye shape for eye capture. In International Conference on Intelligent Systems Design and Applications, ISDA. Vol. 2015-January. IEEE Computer Society. 2015. p. 82-88. 7066277 https://doi.org/10.1109/ISDA.2014.7066277
Nsaef, Asama Kuder ; Jaafar, Azizah ; Sliman, Layth ; Sulaiman, Riza ; Rahmat, Rahmita Wirza. / Model of Bayesian tangent eye shape for eye capture. International Conference on Intelligent Systems Design and Applications, ISDA. Vol. 2015-January IEEE Computer Society, 2015. pp. 82-88
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