Fast algorithm for iris localizarion using daugman integro differential operator

• Main Authors: Shamsi, Mahboubeh, Saad, Puteh, Ibrahim, Subariah, Kenari, Abdolreza Rasouli
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/15180/; http://dx.doi.org/ 10.1109/SoCPaR.2009.83
• Institution: Universiti Teknologi Malaysia

The iris localization is a very important step for iris-recognition. In this step concentric circular outer boundaries of the iris and the pupil in eye's image identify. We enhanced Daugman method to locate the iris by using an Average Square Shrinking Approach. The algorithm is tested using iris images from CASIA database and MMU database. The circle contour sampling parameter has been investigated to find a tradeoff between speed and accuracy of algorithm for different number of points on a circle. The experiments show proposed algorithm can localize the iris faster than other similar methods. Our approach is feasible for online authentication application that need more speed in detection.