Abstract
Iris images have rich texture features and there are significant differences between inner and outer texture in the area of intestinal loop. The texture of intestinal loop dominated the whole iris images, and they are applied to iris recognition and evaluation of health. This paper presents a novel approach to extraction intestinal loop based on textures primitive. First, using texture primitive to count rhythmicity of texture variation, then counting the frequency modes in the windows by defining the boundary and non-boundary mode, and finally to identify the specified window which containing the intestinal loop round to extract intestinal loop by frequency variation. Experimental results indicate that extraction with fuzzy textures which can effectively turn the IRIS intestinal loop, provide a favorable basis for application based intestinal loop.
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© 2015 Springer International Publishing Switzerland
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Huang, J., Yuan, W. (2015). Extraction of Texture Primitive of the Iris Intestinal Loop. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_43
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DOI: https://doi.org/10.1007/978-3-319-25417-3_43
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