Color Traits Transfer to Grayscale Images
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
Image retrieval by Kekre's transform applied on each row of Walsh transformed VQ codebook
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
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Iris recognition has been a fast growing, challenging and interesting area in real-time applications. A large number of iris recognition algorithms have been developed for decades. The paper presents novel Walshlet Pyramid based iris recognition technique. Here iris recognition is done using the image feature set extracted from Walsh Wavelets at various levels of decomposition. Analysis was performed of the proposed method, consisting of the False Acceptance Rate and the Genuine Acceptance Rate. The proposed technique is tested on an iris image database having 384 images. The results show that Walshlet at level-5 outperforms other Walshlets, because the higher level Walshlets are giving very fine texture features while the lower level Walshlets are representing very coarse texture features which are less useful for discrimination of images in iris recognition.