Synonyms
Off-angle or Nonorthogonal segmentation; Segmentation of iris images from noncooperative subjects.
Definition
Iris image segmentation is the process of finding the iris region within an image of the subject’s eye area: distinguishing the iris ring from the sclera, eyelids, and other regions, and also detecting obscurations caused by eyelashes and specular reflection. Off-axis images are those captured when the subject is not looking in the direction of the camera.
Introduction
Iris recognition systems typically require that users position themselves a few inches away from the camera and look into the camera for a few seconds, known as the “stop and stare.” More forgiving and user-friendly interfaces in commercial systems may facilitate the introduction of iris systems into a wider range of applications. Taking it a step further, eliminating the user cooperation requirement entirely would enable deployment of systems in which the subject may not be aware of the image capture,...
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References
Bonney, B.L., Ives, R.W., Etter, D.M., Du, Y.: Iris pattern extraction using bit-planes analysis. In: Proceedings of the 38th Asilomar Conference on Signals, Systems and Computers, pp. 582–586 (Nov. 2004)
Daugman, J.G.: High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Mach. Intell. 15(11), 1148–1161 (1993)
Daugman, J.G.: Biometric personal identification system based on iris analysis. US Patent 5,291,560, US Patent Office, Washington, D.C., 1 Mar 1994
Daugman, J.G.: How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14(1), 21–30 (2004)
Daugman, J.: New methods in iris recognition. IEEE Trans Syst Man Cybern B 37(5) (2007)
Jie Zhu, Jie Yang: Subpixel eye gaze tracking. In: Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 124–129, Washington, D.C. (May 2002)
Eric Sung, Xilin Chen, Jie Zhu, Jie Yang: Towards non-cooperative iris recognition systems. In: Proceedings of the 2002 Seventh IEEE International Conference on Control, Automation, Robotics, and Vision, pp. 990--995, (Dec. 2002)
Jinya Zuo, Kalka, N.D., Schmid, N.A.: A robust iris segmentation procedure for unconstrained subject presentation. In: Special Session on Research at the Biometric Consortium Conference, 2006 Biometrics Symposium.
Ross, A., Shah, S.: Segmenting non-ideal irises using geodesic active contours. In: Special Session on Research at the Biometric Consortium Conference, 2006 Biometrics Symposium.
Schuckers, S.A.C., Schmid, N.A., Abhyankar, A., Dorairaj, V., Boyce, C.K., Hornak, L.A.: On techniques for angle compensation in nonideal iris recognition. In: IEEE Trans. Syst. Man Cybern. B 37(5) (2007)
Dorairaj, V., Schmid, N.A., Fahmy, G.: Performance evaluation of non-ideal iris based recognition system implementing global ICA encoding. In: Proceedings of the IEEE International Conference on Image Processing, vol. 3, pp. 285–288 (2005)
Crihalmeanu, S., Ross, A., Hornak, L., Schuckers, S.: A Protocol for Multibiometric Data Acquisition Storage and Dissemination, Technical Report No. 5396, West Virginia University (2007)
Price, J.R., Gee, T.F., Paquit, V., Tobin, K.W. Jr.: On the efficacy of correcting for refractive effects in iris recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (June 2007)
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Kennell, L.R., Rakvic, R.N., Broussard, R.P. (2009). Segmentation of Off-Axis Iris Images. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_217
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DOI: https://doi.org/10.1007/978-0-387-73003-5_217
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