Description: matlab实现pca算法，基于orl人脸数据库，有很高的识别率-matlab achieve the PCA algorithm, based on the ORL face database, a high recognition rate Platform: |
Size: 1024 |
Author:秦晔 |
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Description: 模式识别分类器的设计，此为fisher法源码，经调试通过。所用数据为标准IRIS。-Pattern recognition classifier design, the source for the fisher law, adopted by the debugger. Data used as the standard IRIS. Platform: |
Size: 1024 |
Author:leestar |
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Description: 基于结构特征的虹膜识别源码 vc++，我自己看过编译过，不错的。-Based on the structural characteristics of the iris recognition source vc++, I have seen compiled, not bad at all. Platform: |
Size: 115712 |
Author:susuyutian |
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Description: 將影像的點素之灰度值加減一個常數，使得整個灰度值分佈圖往左或往右滑動，除了飽和(灰度值為最小或最大)的點素數目有所更動，整個灰度分佈圖的曲線形狀沒有變動。
試合運用於虹膜辨識
-The image of the point addition and subtraction Motonosuke a constant gray value, gray value of the entire distribution to the left or right slide, in addition to saturated (gray value for the minimum or maximum) number of Su-point changes, the entire gray Distribution of the shape of the curve unchanged. All test applied to iris recognition Platform: |
Size: 772096 |
Author:JACKY |
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Description: 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。然后以该伪圆心为中心，在其周围等角度间隔地取N个点作为初始的snake基准点，按照snake 的运行机制不断进化，直到虹膜的内边界为止。最后，计算进化后的snake形心和snake上的控制点与该形心的距离，取其平均值作为瞳孔的半径，动态轮廓模型的形心作为瞳孔的圆心，即可准确定位出虹膜内边界的位置。实验表明，与常见的定位方法相比，文中的方法速度快、精度高，而且，对瞳孔初始的伪圆心要求不高，鲁棒性更强。 -Position of the iris in a digital image of the iris recognition and effective positioning is the key issue. Using a model based on active contour method of positioning the iris position, the first gray projection method used to detect a point within the pupil as a pupil of the pseudo-center of a circle, the center of a circle can be as long as it falls within the pupil. Platform: |
Size: 287744 |
Author:arechi |
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Description: 基于动态轮廓模型的虹膜定位.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。然后以该伪圆心为中心，在其周围等角度间隔地取N个点作为初始的snake基准点，按照snake 的运行机制不断进化，直到虹膜的内边界为止。最后，计算进化后的snake形心和snake上的控制点与该形心的距离，取其平均值作为瞳孔的半径，动态轮廓模型的形心作为瞳孔的圆心，即可准确定位出虹膜内边界的位置。实验表明，与常见的定位方法相比，文中的方法速度快、精度高，而且，对瞳孔初始的伪圆心要求不高，鲁棒性更强。-Iris contour model based on dynamic positioning. In the digital image in the position of the iris iris recognition and effective positioning is the key issue. Using a model based on active contour method of positioning the iris position, the first gray projection method used to detect a point within the pupil as a pupil of the pseudo-center of a circle, the center of a circle can be as long as it falls within the pupil. And then the pseudo-center of a circle centered around the angle of its N-point interval to take the snake as the initial reference point, in accordance with operating mechanism evolving snake, until the iris until the inner boundary. Finally, the calculation of the evolution of the snake-shaped after the heart and snake on the control point with the centroid distance, whichever is the average radius of the pupil as a dynamic contour model of the centroid as the center of the pupil can accurately locate out of the iris inner boundary position. Experiments show that, com Platform: |
Size: 287744 |
Author:318 |
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Description: this pdf file gives good understanding of how to implement iris detection and recognition in matlab..it includes all steps to make the project understandable. Platform: |
Size: 1758208 |
Author:bunty |
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Description: Along with biological features recognition technology s development，the
high precision biometric technology is widely used in the identity verification
more and more．Such as：fingerprint recognitions，iris scanning，retina
scanning，sound ripple，palm prints，facial features recognition and so
on．The technologies including fingerprints，retina，iris biometric recognition
have relatively high credibility and accuracy．Because fingerprint gathering is
relatively convenient and the hardware is easy to be realized，the fingerprint
recognition algorithm is more mature than the other biometric recognition
technologies．The fingerprint recognition has higher usability and feasibility in
terms of the overall performances．-Along with biological features recognition technology' s development, the high precision biometric technology is widely used in the identity verification more and more. Such as: fingerprint recognitions, iris scanning, retina scanning, sound ripple, palm prints, facial features recognition and so on. The technologies including fingerprints, retina, iris biometric recognition have relatively high credibility and accuracy. Because fingerprint gathering is relatively convenient and the hardware is easy to be realized, the fingerprint recognition algorithm is more mature than the other biometric recognition technologies. The fingerprint recognition has higher usability and feasibility in terms of the overall performances. Platform: |
Size: 540672 |
Author:zhengxinlong |
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Description: 提供了图像识别，包括人脸识别和虹膜识别，是不可多得的程序-Provides image recognition, including face recognition and iris recognition, is a rare procedure Platform: |
Size: 2319360 |
Author:龙刚 |
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Search - iris recognition