Implementation of IRIS Image Segmentation using Distance Matrix
S. Perumal1, Lalitha Raju2, R. Balamurugan3

1S. Perumal*, Department of Computer Science, VISTAS, Chennai, India.
2Lalitha Raju, Department of Computer Science, VISTAS, Chennai, India.
3R. Balamurugan, Department of Computer Science, VISTAS, Chennai, India.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3845-3850 | Volume-8 Issue-12, October 2019. | Retrieval Number: L3359081219/2019©BEIESP | DOI: 10.35940/ijitee.L3359.1081219
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Abstract: The human reorganization process plays a major part in giving a safer way of information sharing. The security plays a vital role in accessing applications with lot of confidentiality. The image processing can be a solvent of solving various security issues in iris detection technique. The IRIS images are collected from various persons for testing process and compared with various classification algorithms. Images are cleaned with implementing the preprocessing technique for noise removal. The clarity of the image are also improved with implementing image enhancement and resizing process. Basic image processing algorithmic rules are applied for identifying the necessary features for enhanced features. Some of filtering techniques such as Gabor filter, discrete wavelet transformation filter, Gaussian filter, etc, are used for main feature enhancement and filtering technique. These filtering technique used in this research work are helpful in calculating the distance between pupil and iris of an eye. The implementation process is tested with three different dissimilar iris dataset and compared with different classification algorithms. The research work helps in giving a simple solution in giving security to systems as well as giving a solution to identify the eye disease effectively.
Keywords: Image Resizing, Morphological Operation, Binary Image, Masek Method.
Scope of the Article: Computer Science