Abstract
The traditional pupil positioning method is carried out under the assumption that the pupil boundary is a regular circle, and thus the rich texture features around the pupil boundary are eliminated, which directly affects the iris recognition accuracy. To solve this problem, this paper proposes an irregular pupil positioning method, finds the pupil boundary by preprocessing, then uses the least-squares method to accurately fit the pupil boundary. Finally, the algorithm is verified and analyzed by the CASIA database, and the traditional Hough transform method is used as a comparative experiment. The experimental results show that the proposed algorithm is not only suitable for irregular pupil boundaries (including noncircular and concave and convex areas), but also better in positioning time and positioning accuracy.
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Zhao, Y., Zhang, S., Lei, H., Ma, J., Wang, N. (2020). Research on an Irregular Pupil Positioning Method. In: Kountchev, R., Patnaik, S., Shi, J., Favorskaya, M. (eds) Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology. Smart Innovation, Systems and Technologies, vol 180. Springer, Singapore. https://doi.org/10.1007/978-981-15-3867-4_21
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DOI: https://doi.org/10.1007/978-981-15-3867-4_21
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