Abstract
In this paper, we propose a new method to capture user’s focused iris image at fast speed based on the corneal specular reflection and the human eye model. Experimental results show that the focused iris image acquisition time for the users with and without glasses is 450 ms on average and our method can be used for a real-time iris recognition camera.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Daugman, J.G.: High confidence visual recognition of personals by a test of statistical independence. IEEE Trans. PAMI. 15(11), 1148–1160 (1993)
Jain, R.: Machine Vision. McGraw-Hill International Edition, New York (1995)
Ioammou, D., et al.: Circle Recognition through a 2D Hough transform and Radius Histogramming. Image and Vision Computing 17, 15–26 (1999)
Lee, J.-H., et al.: Implementation of a passive automatic focusing algorithm for digital still camera. IEEE Trans. on CE 41(3), 449–454 (1995)
Toyoda, H., et al.: New Automatic Focusing System for Video Camera. IEEE Transactions on Consumer Electronics CE-32(3), 312–319 (1986)
Haruki, T., Kikuchi, K.: Video Camera System Using Fuzzy Logic. IEEE Transactions on Consumer Electronics 38(3), 624–634 (1992)
Ooi, K., et al.: An Advanced Auto-focusing System for Video Camera Using Quasi Condition Reasoning. IEEE Trans. on CE 36(3), 526–529 (1990)
Hanma, K., et al.: Novel Technologies for Automatic Focusing and White Balancing of SolidState Color Video Camera. IEEE Trans. on CE 29(3), 376–381 (1983)
Jarvis, R.A.: Focus Optimization Criteria for Computer Image Processing. Microscope 24(2), 163–180
Nayar, S.K., Nakagawa, Y.: Shape from Focus. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(8), 824–831 (1994)
Choi, K.-S., et al.: New Auto-focusing Technique Using the Frequency Selective Weight Median Filter for Video Cameras. IEEE Trans. on CE 45(3), 820–827 (1999)
Park, Y., Yun, H., Song, M., Kim, J.H.: A fast circular edge detector for the iris region segmentation. In: Bülthoff, H.H., Poggio, T.A., Lee, S.-W. (eds.) BMCV 2000. LNCS, vol. 1811, pp. 417–423. Springer, Heidelberg (2000)
Shih, S.-W.: A Novel Approach to 3-D Gaze Tracking Using Stereo Cameras. IEEE Transactions on Systems, Man and Cybernatics-Part B 34(1) (Febraury 2004)
Lee, J.J.: Eye Gaze Estimation in Wearble Monitor, Ph.D Thesis, the Graduate School of Yonsei University (November 2004)
Grand, Y.L.: Light, Color and Vision. Wiley, New York (1957)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Park, K.R. (2005). A Study on Fast Iris Image Acquisition Method. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_5
Download citation
DOI: https://doi.org/10.1007/11556121_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28969-2
Online ISBN: 978-3-540-32011-1
eBook Packages: Computer ScienceComputer Science (R0)