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基于GRNN神经网络的视线跟踪源程序。
其中网络的输入分别是瞳孔中心,半径,瞳孔中心与普洱青斑向量。-GRNN neural network-based tracking source line of sight. Network input, respectively, which is the pupil center, radius, the pupil center and Pu
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图像识别,包括人脸识别和虹膜识别,在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置,先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心,该圆心只要能落在瞳孔内部即可。-Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective po
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to find the pupil radius using similarity based approach.
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图像识别的MATLAB代码,包括人脸识别和虹膜识别,在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置,先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心,该圆心只要能落在瞳孔内部即可。-Matlab source code of image recognition, including face recognition and iris recognition, iris position in the digital image in an eff
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包括瞳孔和虹膜的半径找眼睛的瞳孔部位和眼睛虹膜的部分 同时会标基础眼睛中心的位置 -找眼睛的瞳孔部位和眼睛虹膜的部分 同时会标基础眼睛中心的位置 包括瞳孔和虹膜的半径-Find parts of the eye pupil and the iris of the eye at the same time part of the logo based on the location of the eye including the pupil center and iris radius
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Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value
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Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value
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