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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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A biometric system provides automatic identification of an individual based on a unique feature or characteristic posse d by the individual. Iris recognition is a part of the biometric identification methodologies which also include facial, fingerpri
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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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canny edge technique for iris recognition system
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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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