Abstract
This paper presents a new iris database that contains images with noise. This is in contrast with the existing databases, that are noise free. UBIRIS is a tool for the development of robust iris recognition algorithms for biometric proposes.
We present a detailed description of the many characteristics of UBIRIS and a comparison of several image segmentation approaches used in the current iris segmentation methods where it is evident their small tolerance to noisy images.
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References
Ballard, D.H., Brown, C.M.: Computer Vision. Prentice-Hall, Englewood Cliffs (1982)
Canny, J.: A computational approach to edge detection. IEEE Trans. on Pattern Analysis and Machine Intelligence 8, 679–698
Cui, J., Wang, Y., Tan, T., Ma, L., Sun, Z.: A fast and robust iris localization method based on texture segmentation (2004), http://nlpr-web.ia.ac.cn/english/irds/papers/cuijl/SPIE.pdf
Daugman, J.G.: High confidence visual recognition of persons by a teste of statistical independence. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(11), 1148–1161 (1993)
Dempster, A.P., Laird, N., Rubin, D.: Maximum likelyhood from incomplete data via the em algorithm. Journal of the Royal Statistic Society 39, 1–38 (1977)
Dobes, M., Machala, L.: Upol iris image database (2004), http://phoenix.inf.upol.cz/iris/
Du, Y., Ives, R., Etter, D., Welch, T., Chang, C.: A new approach to iris pattern recognition. In: SPIE European Symposium on Optics/Photonics in Defence and Security (2004)
Emigh, J.: The eyes have it (2003), http://securitysolutions.com/mag/security/_eyes
Floom, L., Safir, A.: Iris recognition system, u.s. patent no. 4.641.349 (1987)
Hough, P.V.C.: Method and means for recognizing complex patterns, U.S. Patent 3 069 654 (1962)
Huang, J., Wang, Y., Tan, T., Cui, J.: A new iris segmentation method for recognition. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR 2004) (2004)
Chinese Academy of Sciences Institute of Automation. Casia iris image database (2004), http://www.sinobiometrics.com
Kim, J., Cho, S., Choi, J.: Iris recognition using wavelet features. Journal of VLSI Signal Processing (38), 147–156 (2004)
Kong, W.K., Zhang, D.: Accurate iris segmentation method based on novel reflection and eyelash detection model. In: Proceedings of 2001 International Symposium on Inteligent Multimedia, Video and Speech Processing, Hong Kong (May 2001)
Kovesi, P.: Matlab functions for computer vision and image analysis (2004), http://cs.uwa.edu.au/~pk/Research/MatlabFns/
Liam, L., Chekima, A., Fan, L., Dargham, J.: Iris recognition using self-organizing neural network. In: IEEE, 2002 Student Confderence on Research and Developing Systems, Malasya, pp. 169–172 (2002)
Ma, L., Tan, T., Wang, Y., Zhang, D.: Personal identification based on iris texture analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(12), 1519–1533 (2003)
Ma, L., Wang, Y., Tan, T.: Iris recognition based on multichannel gabor filtering. In: ACCV2002: The 5th Asian Conference on Computer Vision, Australia (2002)
Ma, L., Wang, Y., Zhang, D.: Efficient iris recognition by characterizing key local variations. IEEE Transactions on Image Processing 13(6), 739–750 (2004)
Masek, L.: Recognition of human iris patterns for biometric identification (2003), http://www.csse.uwa.edu.au/~pk/studentprojects/libor
Mira, J., Mayer, J.: Image feature extraction for application of biometric identification of iris - a morphological approach. In: IEEE Proceedings of the XVI Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003) (2003)
Muron, A., Pospisil, J.: The human iris structure and its usages. In: Acta Univ. Palacki, Phisica, vol. 39, pp. 87–95 (2000)
Nishino, K., Nayar, S.K.: Eyes for relighting. ACM Trans. Graph. 23(3), 704–711 (2004)
Pratt, W.K.: Digital Image Processing. Wiley, U.S.A. (1978)
Proença, H., Alexandre, L.A.: Ubiris iris image database (2004), http://iris.di.ubi.pt
Wildes, R.P.: Iris recognition: an emerging biometric technology. Proceedings of the IEEE 85(9), 1348–1363 (1997)
Williams, G.: Iris recognition technology, iridian technologies, Inc. (2001), http://www.argus-solutions.com/pdfs/irisrecogwilliams.pdf
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Proença, H., Alexandre, L.A. (2005). UBIRIS: A Noisy Iris Image Database. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_119
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DOI: https://doi.org/10.1007/11553595_119
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