Abstract
For the purpose of localizing iris precisely and quickly, a fast iris location algorithm using gray projection and Hough transform is presented based on the gray distribution features of eye image. First, threshold segmentation is applied to locate the pupil from original image of eyes. Then gray projection is used to locate the inner edge of iris and the edge information is extracted by enhancing the iris edge image. At last, the prior knowledge of pupil circle centre and radii combined with the improved Hough transform is utilized to locate the iris edge accurately. Experimental results show that this algorithm improves the locating speed with better locating results.
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© 2009 Springer-Verlag Berlin Heidelberg
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Xu, Dj., Liu, Xh., Wang, Jr. (2009). An Algorithm of Iris Location Based on Gray Projection and Improved Hough Transform. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_29
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DOI: https://doi.org/10.1007/978-3-642-03664-4_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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