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Description: 在数字图像处理中虹膜位置的有效定位是虹膜识别的关键为题。文中的方法速度快、精确高。而且，对瞳孔初始的伪圆心要求不高，鲁棒性更强。-In digital image processing effective iris location positioning is the key to iris recognition as its theme. In this paper, the method is fast, accurate high. Moreover, the initial pseudo-pupil center do not ask for much, more robust.
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Size: 271360 |
Author: yao |
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Description: 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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Size: 1024 |
Author: chen ning |
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Description: 采用最小均方差法对虹膜瞳孔定位，虹膜外圆定位，归一化及其增强处理，圆拟合-Using least-mean-variance method of positioning the iris pupil, iris outer location, normalized and enhanced handling, circle fitting
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Size: 4096 |
Author: linxi |
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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。-Digital image of the iris in the location of the effective positioning of the key issues of iris recognition. With a model based on the active contour method of positioning the location of the iris, the first gray projection method used to detect the pupil as the point of the pseudo-pupil center, the center of a circle as long as it can fall within the pupil. And then to the pseudo-center as the center, in terms of their spacing around the N points to get the snake as the initial reference point, the operating mechanism in accordance with the snake continued to evolve until the border until the inner iris. Finally, after calculating the evolution of snake and snake-shaped heart of the control point on the centroid distance, choose the average as the radius of the pupil, the dynamic contour model of the centroid as the center of pupil can be an accurate positioning within the borders of the iris position. The experimental results show that the position with common methods, the methods o
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Size: 1764352 |
Author: 侯汶杉 |
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Description: FAST PUPIL LOCATION FOR BETTER IRIS DETECTION
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Size: 133120 |
Author: mannou |
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Description: 本文采用的瞳孔定位算法的主要过程如下（本文以人脸图像右侧的瞳孔为例进行阐述，同理可以定位到左侧的瞳孔）：
在一幅人脸图像中，瞳孔因为其灰度值较低，因而成为最容易准确定位的部分，同时瞳孔位置的确定不仅确定了整个脸形
的位置，而且对于整个人脸图像的尺寸也可以进行较为准确合理地确定，因此利用瞳孔的位置作为ASM 模型初始化是非
常理想的。-In this paper, the pupil location algorithm is the main process is as follows (In this paper, the pupil face image to the right of set an example, empathy can be positioned to the left of the pupil): In a human face images, the pupil because of its gray value low, and thus become the most vulnerable part of the accurate positioning, while the pupil to determine the location of the entire Lian Xing is not only determined the location, but also for the entire human face image size can be determined more accurately and reasonably, so the use of the location of the pupil as the ASM model Initialization is very ideal.
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Size: 289792 |
Author: 天使 |
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Description: 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 effective location is the key problem of iris recognition. With an active contour model based method to locate the position of the iris, the first gray projection method used to detect a point inside the pupil as a pupil of the pseudo-center, the center can be as long as fall within the pupil.
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Size: 959488 |
Author: gaotengfei |
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Description: 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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Size: 1024 |
Author: JING ZHOU |
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Description: This paper presents a novel adaptive algorithm to
detect the center of pupil in frontal view faces. This algorithm, at
first, employs the viola-Jones face detector to find the approximate
location of face in an image. The knowledge of the face structure
is exploited to detect the eye region. The histogram of the detected
region is calculated and its CDF is employed to extract the eyelids
and iris region in an adaptive way. The center of this region is
considered as the pupil center. The experimental results show
ninety one percent’s accuracy in detecting pupil center.
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Size: 724992 |
Author: Gheis |
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Description: An algorithm, which uses the center of the image as a starting point, is proposed to isolate the pupillary region. The initial estimate of the location of the pupil is then refined, and the iris is located by using the integrodifferential operator.
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Size: 176128 |
Author: nikhil |
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Description: 根据眼睛图像的几何特性，提出了一种基于最长弦的瞳孔定位算法，该算法能快速地检测到瞳孔的位置。-According to the eye image geometric characteristic, proposed one kind based on the longest string of pupil location algorithm, the algorithm can quickly detect the position of the pupil.
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Size: 247808 |
Author: coco |
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Description: 人眼虹膜识别的图像预处理，包括边缘检测，虹膜定位等，可以实现瞳孔的精定位-Human eye iris recognition, image preprocessing, edge detection, iris location, you can achieve the fine positioning of the pupil
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Size: 241664 |
Author: 蒋平青 |
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Description: 基于hough变换瞳孔定位识别：使用灰度累加算子首先获得一个瞳孔内点，然后进行瞳孔分割、边缘检测、椭圆拟合，极端条件下也可实现瞳孔定位识别，鲁棒性很好-Based on the the hough transform pupil location identification: the use of gray-scale accumulation operator First a pupil within, and then split pupil, edge detection and ellipse fitting under extreme conditions can be realized pupil location identification, robustness is very good
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Size: 68608 |
Author: 田 |
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Description: 本函数选用阈值分割的方法来完成瞳孔定位。根据图像的灰度分布特性，瞳孔部分的灰度值最小，其次为虹膜部分，最大的为巩膜部分。因此在灰度直方图中，第一个大峰值的邻域即是瞳孔所在区域。-Function selects the threshold segmentation method to accomplish the pupil location. Based on image gray distribution features, the pupil part of the grey value of the minimum, followed by the iris part, the biggest part of sclera. So in gray level histogram, the peak value of the first big neighborhood is the pupil area.
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Size: 603136 |
Author: 张巍 |
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Description: 本代码是利用灰度极小值的方法成功完成了虹膜瞳孔定位，并利用线性差值法对虹膜进行归一化处理，归一化的目的是方便对图像的进一步处理。-This code is the use of gray minimum method successfully completed the pupil, location, and linear differential method is used to analyse the iris normalization processing, the purpose of normalization is for further processing of the image.
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Size: 5608448 |
Author: 张巍 |
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Description: 采用最小均方差法对虹膜瞳孔定位，虹膜外圆定位，归一化及其增强处理，圆拟合-Using least-mean-variance method of positioning the iris pupil, iris outer location, normalized and enhanced handling, circle fitting
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Size: 4096 |
Author: toris |
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Description: 基于眼睛图像的集合特征，提出了一种基于最长弦的瞳孔定位算法，算法与传统瞳孔定位算法相比，在准确度和速度方面具有优势-Based on the eye image collection features, this paper proposes a pupil location algorithm based on the longest string, algorithm is compared with the traditional pupil localization algorithm, has advantages in terms of accuracy and speed
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Size: 252928 |
Author: machaoyu |
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Description: VC++ program, used for pupil location in eye image based on ellipse detection
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Size: 2048 |
Author: Lei Zhang |
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Description: 导入人脸图像，根据Canny算法查找第一个边缘点，搜索邻域边缘点以最后一个边缘点作为新起点，进行下一轮搜索，初始化Hough矩阵确定瞳孔边缘界限计算瞳孔面积，定位瞳孔圆心坐标-Import facial image, according to Canny algorithm to find the first edge point, the search neighborhood edge point to the last point of the edge of a new starting point, the next round of search, initialization Hough matrix calculation to determine the boundaries of the pupil edge area of the pupil, the pupil center positioning coordinate
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Size: 3072 |
Author: 王超 |
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Description: 瞳孔检测，可以快速准确的定位到瞳孔，并且显示出黑白二值图像(Pupil detection, can quickly and accurately locate the pupil, and display the black and white binary image)
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Size: 190464 |
Author: LIN东 |
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