International Journal of Science and Research (IJSR)

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

ISSN: 2319-7064


Downloads: 114

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


Iris Image Classification: A Survey

Anjali Hake, Pradeep Patil


Abstract: 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


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/get_abstract.php?paper_id=SUB15276, Volume 4 Issue 1, January 2015, 2599 - 2603

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