Haitham Salman Chyad, Raniah Ali Mustafa, R. A. Haleot
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引用次数: 0

摘要

本质上是利用虹膜技术对人进行身份识别。由于近年来虹膜识别技术的巨大增长,在以下领域出现了许多研究;图像压缩、分割、质量评价、图像采集(IA)、恢复、特征提取(FE)、归一化、降噪、虹膜编码匹配(NRCM)、评价、大型数据库检索、应用、多生物特征及条件变化下的性能。由于神经网络算法的有效性和良好的识别效果,人们提出了许多基于神经网络的虹膜识别技术。本文综述了虹膜图像识别技术在各个领域的研究背景,并对这些技术进行了比较。
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Subject Review: Iris Recognition Using Neural Network
Essentially use iris technique to human identification and recognition. Due enormous growth through the recent years for iris recognition techniques numerous research has emerged in the areas like; image compression, segmentation, quality assessment, Image Acquisition (IA), restoration, feature extraction (FE), normalization, noise reduction iris code matching (NRCM), evaluation, searching large database, applications, performance under changing multibiometrics and condition. Where many techniques were suggested to iris recognition (IR) using neural network because their efficient algorithm and also gives good result. In this research paper, we provide reviews a background for many techniques proposed to recognition iris image in various domains and also procedure a comparison between these techniques.
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