Abstract
Point light sources always reflect on color iris image captured by portable color iris image capturing device, which will affect the pupil contour extraction. A pupil’s contour extraction method of anti-light spot interference is given in this paper to solve the problem. Firstly, the expanded pupil region is unfolded into a rectangle image. Secondly, all the light spot regions in the rectangle image are positioned by projecting method of axial directions after binarization and median filtering. Thirdly, these regions are filled by image inpainting technique based on fast marching method. Then, pupil contour extraction can be launched. Next, those regions which are close to contour line are repaired so that the entire exact pupil contour is finally extracted out. In addition, the experiment about this method is conducted with 200 color iris images. The results show that this method has considerable validity and adaptability.
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.: Wavelet demodulation codes, statistical independence, and pattern recognition. In: Proc. 2nd Institute of Mathematics and its Applications, IMA-IP, pp. 244–260 (2000)
Daugman, J.G.: The importance of being random: statistical principles of iris recognition. Pattern Recognition 36(2), 279–291 (2003)
Daugman, J.G.: Demodulation by complex-valued wavelets for stochastic pattern recognition. International Journal of Wavelets, Multiresolution and Information Processing 1(1), 1–17 (2003)
Wildes, R.: Iris recognition: An emerging biometric technology. Proc. IEEE 85(9), 1348–1363 (1997)
Ma, L., Zhang, D., Li, N., Cai, Y., Zuo, W., Wang, K.: Iris-based medical analysis by geometric deformation features. IEEE Journal of Biomedical and Health Informatics 17(1) (January 2013)
Tian, Q., Pan, Q., Cheng, Y.: Study on iris boundary positioning in different illumination. Journal of Optoelectronics ∙ Laser 17(4), 488–492 (2006)
Wu, J., Zou, D., Li, J.: Fast and accurate iris location algorithm. Chinese Journal of Scientific Instrument 28(8), 1469–1473 (2007)
Yang, L., Xia, L., Na, W., et al.: An improved iris location algorithm based on sampling to special regions of interesting. Acta Photonia Sinica 37(6), 1277–1280 (2008)
Yuan, W., Xu, L., Lin, Z.: Iris positioning algorithm based on gray distribution features of eye images. Journal of Optoelectronics ∙ Laser 17(2), 226–230 (2006)
Yuan, W., Xu, L., Lin, Z.: An iris block-encoding method based on statistic of local information. Acta Optica Sinica 27(11), 2047–2053 (2007)
Nam, K.W., Yoon, K.L., Yang, W.S.: A feature extraction method for binary iris code construction. In: Proceedings of the 2nd International Conference on Information Technology for Application (ICITA 2004), Harbin, pp. 284–287 (2004)
Li, X., Yu, L., Wang, N.: A fast iris location algorithm based on line detection. Journal of Computer-Aided Design & Computer Graphics 18(8), 1155–1159 (2006)
Yuan, W., Bai, X.: A new iris edge extraction method. Acta Photonia Sinica 8(29), 2158–2163 (2009)
Telea, A.: An image inpainting technique based on the fast marching method. Journal of Graphics Tools 9(1), 25–36 (2004)
Liu, W., Fan, Y., Lei, T.: Eye corneal reflection removal based on boundary initial position detection. Computer Engineering and Applications 49(17), 1–5 (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Yu, X., Song, J., Yuan, W. (2014). Pupil Contour Extraction Method of Anti-light Spot Interference for Iris Image Captured in Visible Light. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-12484-1_38
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12483-4
Online ISBN: 978-3-319-12484-1
eBook Packages: Computer ScienceComputer Science (R0)