This is not the latest version of this item. The latest version can be found here.
Loading...
A Fast and Accurate Iris Localization Technique for Healthcare Security System
Al-Waisy, Alaa S. Qahwaji, Rami S.R. Ipson, Stanley S. Al-Fahdawi, Shumoos
Al-Waisy, Alaa S.
Qahwaji, Rami S.R.
Ipson, Stanley S.
Al-Fahdawi, Shumoos
Publication Date
2015
End of Embargo
Supervisor
Rights
© 2015 IEEE. Reproduced in accordance with the publisher's self-archiving policy.
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Peer-Reviewed
No
Open Access status
openAccess
Accepted for publication
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
In the health care systems, a high security level is required to protect extremely sensitive patient records. The goal is to provide a secure access to the right records at the right time with high patient privacy. As the most accurate biometric system, the iris recognition can play a significant role in healthcare applications for accurate patient identification. In this paper, the
corner stone towards building a fast and robust iris recognition system for healthcare applications is addressed, which is known as iris localization. Iris localization is an essential step for efficient iris recognition systems. The presence of extraneous features such as eyelashes, eyelids, pupil and reflection spots make the correct iris localization challenging. In this paper, an
efficient and automatic method is presented for the inner and outer iris boundary localization. The inner pupil boundary is detected after eliminating specular reflections using a combination of thresholding and morphological operations. Then, the outer iris boundary is detected using the modified
Circular Hough transform. An efficient preprocessing procedure is proposed to enhance the iris boundary by applying 2D Gaussian filter and Histogram equalization processes. In addition, the pupil’s parameters (e.g. radius and center coordinates) are employed to reduce the search time of the Hough transform by discarding the unnecessary edge points within the iris region. Finally, a robust and fast eyelids detection algorithm is developed which employs an anisotropic diffusion filter with Radon transform to fit the upper and lower eyelids boundaries. The performance of the proposed method is tested on two databases: CASIA Version 1.0 and SDUMLA-HMT iris database. The Experimental results demonstrate the efficiency of the proposed method. Moreover, a comparative study with other established methods is also carried out.
Version
Accepted manuscript
Citation
Al-Waisy AS, Qahwaji R, Ipson S et al (2015) A Fast and Accurate Iris Localization Technique for Healthcare Security System. 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 26-28 Oct. IEEE. Pp 1028-1034.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Conference paper