Abstract
This paper investigates some factors possibly disturbing iris localization in an iris image operated by the localizing pre-processing, and gives an optimal localization method from a new viewpoint different with the past. After establishing two-dimensional projection histograms and corresponding matrices of an image edge-rude-field, the method researches the relation between every dimensional projecting character and the tangled distributing traits in the edge-rude-field. Then it obtains an as good as possible rude-field of the iris edge using the way of scout and crossing which detect and get rid of the bad points in the edge-rude-field, finally calculates the exact iris boundary. After the comparing test and the analysis to an iris image database, the experiment result shows that the robust method can quickly and accurately completes iris localization and is not sensitive to different filters worked on the pre-processing of the localization.
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© 2004 Springer-Verlag Berlin Heidelberg
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Ye, X., Yao, P., Wu, L., Zhuang, Z. (2004). Two-Dimensional Projection and Crossing for Iris Optimal Localization. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_64
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DOI: https://doi.org/10.1007/978-3-540-30548-4_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24029-7
Online ISBN: 978-3-540-30548-4
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