Iris Image Classification: A Survey
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
How to Cite?: Anjali Hake, Pradeep Patil, "Iris Image Classification: A Survey", Volume 4 Issue 1, January 2015, International Journal of Science and Research (IJSR), Pages: 2599-2603, https://www.ijsr.net/getabstract.php?paperid=SUB15276, DOI: https://dx.doi.org/10.21275/SUB15276