Abstract
An algorithm for human iris recognition is presented in this paper. The essential idea of the work is to show the results of the authors’ investigation in treating sick eyes with iris anomalies. This is actually specific as the iris code may (or may not) be affected in such situations. The paper introduces the basic steps in iris image and its main characteristics and features extraction leaving the detailed description of the algorithm and its results to the extended version of the paper. The answer to the main problem of the investigation is supposed to be given or at least discussed to know the relation between eye iris of sick and healthy eyes.
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Acknowledgment
The research was partially supported by grant no. WFiIS 11.11.220.01, AGH University of Science and Technology in Krakow and also by Department of Ophthalmology, Faculty of Medicine, Medical University of Bialystok.
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Wachulec, P., Saeed, E., Bartocha, A., Saeed, K. (2015). Iris Feature Extraction with the Influence of Its Diseases on the Results. In: Chaki, R., Saeed, K., Choudhury, S., Chaki, N. (eds) Applied Computation and Security Systems. Advances in Intelligent Systems and Computing, vol 304. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1985-9_4
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DOI: https://doi.org/10.1007/978-81-322-1985-9_4
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