Iris Image Classification: A Survey
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 1, January 2015

Iris Image Classification: A Survey

Anjali Hake, Pradeep Patil

Iris recognition is one of the consistent accurate, fast and secure biometric techniques for human identification. Iris recognition systems capture an image from an individual's eye. The iris in the image is then segmented and normalized for feature extraction process. The performance of iris recognition systems highly depends on segmentation. In this paper survey of iris recognition and classification methods and challenges related to iris recognition and classification are discussed.

Keywords: race classification, vector quantization, support vector machine, iris liveness detection

Edition: Volume 4 Issue 1, January 2015

Pages: 2599 - 2603

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How to Cite this Article?

Anjali Hake, Pradeep Patil, "Iris Image Classification: A Survey", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB15276, Volume 4 Issue 1, January 2015, 2599 - 2603

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