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基于TMS320VC5402的虹膜识别系统,使用MATLAB进行编程,实现-based TMS320VC5402 iris recognition system, using MATLAB programming,
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生物识别技术在科研领域取
得了极大的重视和发展。由于生物特征是人的内在属性,具有很强的自身稳定性和个
体差异性,因此是身份验证的最理想依据川。其中,利用人脸特征进行身份验证又是
最自然直接的手段,与指纹、虹膜、掌纹等其他人体生物特征识别系统相比,人脸识
别系统更加友好,方便,易于为用户所接受,有广阔的应用领域。-Biometric technology in the research field of great importance and development. Biolo
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这个是虹膜识别系统,实现身份认证,在目前这还是一个十分先进的识别系统.-This is iris recognition system for authentication, in the present this is a very advanced identification system.
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在虹膜识别系统中,质量较差的虹膜图像可能被系统拒识,导致身份识别或身份认证的失败。-In the iris recognition system, low-quality iris image rejection may be the system, leading to identification or authentication failure.
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Iris Recognition System
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iris recognition System will automatically delete the directory of debug and release, so please do not put files on these two directory.
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人脸识别是近年来模式识别、图像处理、机器视
觉、神经网络以及认知科学等领域研究的热点课题之
一。作为生物特征识别的一个重要方面, 人脸识别在
档案管理系统、安全验证系统、信用卡验证、公安系统
的罪犯身份识别、银行和海关的监控、人机交互等领域
具有广阔的应用前景。与指纹识别、视网膜识别、虹膜
识别等技术相比, 人脸识别技术在数据采集方面手续
比较简单, 使用者更容易接受。-Face recognition in recent years, pattern recogni
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Design method of ARM based embedded iris recognition system explained
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A Design And Implementation Of A Wireless Iris Recognition Attendance Management System is here
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模式识别是以应用为基础,目的是将图像进行分类。这些对象与应用领域有关,可以是图像、波形或者任何可测量且需要分类的对象。虹膜识别即为模式识别的一个主要应用,一个自动虹膜识别系统包含硬件和软件两大模块,虹膜图像获取装置和虹膜识别算法,分别对应于图像获取和模式匹配这两个基本问题。-Pattern recognition is based on the application purpose is to image classification. Related to the field with th
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pt-ubiid-v.02.zip : repository contains source code of Iris recognition system, to run it, you need Bath database Images(payable)-pt-ubiid-v.02.zip : repository contains source code of Iris recognition system, to run it, you need Bath database Images
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iris recognition System which is used to detect iris
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本文在介绍虹膜识别系统基本原理的基础上,比较和分析了现有的较有影响的灰度及彩色虹膜定位算法及其缺点和不足,并提出改进方案。-In this paper, the basic principle of introducing the iris recognition system, comparison and analysis of the more influential grayColor iris localization algorithm and its hortcomings and
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embedded system design of iris recognition system
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research paper on iris recognition system using comparison of eyelids and eye lashes
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daugman s research on iris recognition system
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VeriEye SDK 2.2-iris recognition system
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An effective and fast iris recognition system based on a combined multiscale feature extraction technique
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An efficient iris recognition system based on Log Gabor filter and Hamming distance
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iris recognition system to determine gluacoma disease using hough transform as feature extraction
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