Iris recognition using discrete cosine transform and Kekre's fast codebook generation algorithm
Hemant B. Kekre, Tanuja Sarode, Vinayak Ashok Bharadi, Arjun Agrawal, Rohan Arora, Manu H. Nair · 2010
Iris recognition enjoys universality, high degree of uniqueness and moderate user co-operation. This makes Iris recognition systems unavoidable in emerging security & authentication mechanisms. We propose an iris recognition system based on vector quantization and its performance is compared with the Discrete Cosine Transform (DCT). The proposed VQ based system does not need any pre-processing and segmentation of the iris. For vector quantization we have used Kekre's Fast Codebook Generation Algorithm (KFCG). Proposed VQ based method using KFCG requires 99.99% less computations as that of full 2-dimensional DCT. Further the KFCG method gives better performance with the accuracy of 89.10% outperforming DCT that gives accuracy around 66.10%. The system has a future scope for integration in existing mechanisms.