Acquisition of Iris Images, Iris Localization, Normalization, and Quality Enhancement for Personal Identification
نویسندگان
چکیده
Volume 1, Issue 2 July-August 2012 Page 271 Abstract: Iris based biometric personal identification and Verification methods have gained much interest with an increasing emphasis on security. The proposed approach comprises of acquisition of Iris images, Iris Localization, Normalization and Quality Enhancement. Algorithms like Circular Hough transform, Canny Edge Detection, Gabor filters, Homogeneous rubber sheet model, and Daubechies wavelets methods were used based on the requirements of the Iris Pre-Processing (IIP) Module. Accurate templates are the key to Iris recognition system. Artifacts Removal and PreProcessing will help to produce accurate matching patterns. Our proposed work produced 99.14% accuracy in edge detection, which gives reliable solution to the segmentation and Quality Enhancement.
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