Iris recognition enjoys universality,high degree of uniqueness and moderate user co-operation.This makes iris recognition systems unavoidable in emerging security & authentication mechanisms.An iris recognition system based on vector quantization (VQ) techniques is proposed and its performance is compared with the discrete cosine transform (DCT).The proposed system does not need any pre-processing and segmentation of the iris.We have tested Linde-BuzoGray (LBG),Kekre’s proportionate error (KPE) algorithm and Kekre’s fast codebook generation (KFCG) algorithm for the clustering purpose.Proposed vector quantization 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%.
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机译:Chinese Aesthetics and Performance Practice in Three Works for Piano by Chen Yi: Tunes from My Home, Northern Scenes, and Four Spirits =浅析陈怡含有钢琴的作品中涉及到中国艺术美学及演出实践的三首作品:钢琴三重奏《家乡的歌》,钢琴独奏《北方景色》,钢琴协奏曲《四灵》