IRIS Classification Based on Fractal Dimension Box Counting Method

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Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
Among many biometrics approaches, iris recognition is known for its high reliability, but as databases grow ever larger, an approach is needed that can reduce matching time. This can be easily achieved by using iris classification. This paper presents fractal dimension box counting method for classifying the iris images into four categories according to texture pattern. Initially eye image is localized by using random circular contour method than a preprocessed flat bed iris image of 256 64 size is generated, which is further divided into sixteen regions.
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