虹膜辨识(Iris Recognition) 位于人类瞳孔内部的虹膜,是由错综复杂且十分细微的纤维体所构成,即使是同卵双胞胎的虹膜,也不可能重复, 因此,虹膜辨识堪称...
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The technology of iris recognition 虹膜识别技术
handbook of iris recognition 人脸识别手册
iris recognition system 虹膜识别系统
iris recognition systems 虹膜识别系统
Iris recognition software 虹膜识别软件
iris recognition technology 虹膜识别技术
Iris Recognition Algorithms 虹膜识别算法
Survey of iris recognition 虹膜识别综述
Overview of Iris Recognition 虹膜识别综述
It was widely applied in iris recognition that using Gabor filter coded iris feature.
利用二维Gabor滤波器组编码虹膜纹理的方法,已被广泛地应用于虹膜识别中。
参考来源 - Gabor滤波器参数设计及其在虹膜识别中的应用In this thesis, we study the traditional wavelet and multi-band wavelet analysis theory and their applications in three fields. The three fields are: Iris recognition, content-based image retrieval and image coding.
本文分别以基于虹膜识别的身份认证、基于图像内容的图像检索、图像压缩编码等三个比较前沿的课题应用为研究对象,对小波及多进制小波分析理论在数字图像处理中的算法应用进行讨论和研究。
参考来源 - 小波分析在图像处理中的应用与研究·2,447,543篇论文数据,部分数据来源于NoteExpress
Iris image quality evaluation is an important step of iris recognition, because the image quality is crucial to recognition effect.
虹膜图像质量评估是虹膜识别系统中的关键步骤,图像质量的好坏将直接影响后续识别结果的准确性。
The experiment results show that this method is fast and effective in evaluation of serial iris images and it also improves the efficiency of the iris recognition system.
实验证明,用该方法可以快速、有效地鉴定序列虹膜图像的质量,提高该身份识别系统的工作效率。
The experiment results show that this evaluation system can reflect the real quality of images and thus significantly improve the overall performance of the iris recognition system.
实验结果表明,该质量评价方法反映了虹膜图像的真实质量水平,能够显著提高识别系统的整体性能。
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