Search - iris

Search - iris - List

【Bio-Recognize】 paper3 DL : 0: Computational imaging systems for iris recognition(1)
Update : 2024-05-14 Size : 414720 Publisher : li
【Bio-Recognize】 paper4 DL : 0: Efficient and Accurate At-a-Distance Iris Recognition Using Geometric Key-Based Iris Encoding(1)
Update : 2024-05-14 Size : 752640 Publisher : li
【Bio-Recognize】 PAPER6 DL : 0: Robust and Accurate Iris Segmentation Algorithm for Color and Noisy Eye Images(1)
Update : 2024-05-14 Size : 583680 Publisher : li
【Bio-Recognize】 paper1 DL : 0: Use of artificial color filtering to improve iris recognition and searching(2)
Update : 2024-05-14 Size : 197632 Publisher : xiaowang
【Bio-Recognize】 paper3 DL : 0: Weighted co-occurrence phase histogram for iris recognition(1)
Update : 2024-05-14 Size : 1056768 Publisher : xiaowang
【Bio-Recognize】 paper5 DL : 0: Efficient iris segmentation using Grow-Cut algorithm for remotely acquired iris images(1)
Update : 2024-05-14 Size : 1090560 Publisher : xiaowang
【mathematica】 paper4 DL : 0: An effective and fast iris recognition system based on a combined multiscale feature extraction technique
Update : 2024-05-14 Size : 792576 Publisher : xiaowang
【WEB Code】 iris_php_mean DL : 0: iris采用聚类算法分类，php代码实现。iris_train2.php用于训练数据，iris_test.php用于测试数据。-a kind of k-means,php programming
Update : 2024-05-14 Size : 3072 Publisher : kenbob
【AI-NN-PR】 BPNN_Java DL : 0: 神经网络，BP算法，对iris数据进行训练和测试。本程序采用Java语言编写，学习正确率达98 。-iris data analysis,java programming,bp algorithm
Update : 2024-05-14 Size : 11264 Publisher : kenbob
【AI-NN-PR】 BP_IRIS DL : 0: BP算法对IRIS数据进行分类，MATLAB代码，带数据文件-BP algorithm,iris data analysis,matlab programming
Update : 2024-05-14 Size : 4096 Publisher : kenbob
【AI-NN-PR】 IRIS_SVM DL : 0: SVM算法对IRIS数据进行分类，采用MATLAB代码编写，带iris原始数据。-matlab implementation,iris classiy,svm method
Update : 2024-05-14 Size : 6144 Publisher : kenbob
【Other】 PCA DL : 0: PCA基于Iris数据集，用于统计学习作业。是非常好用且鲁棒的方法。有利于学习统计学习PCA和matlab。-PCA based on Iris data set, used in statistical learning assignments.It is very convenient and robust method.Is advantageous to the study of statistical learning PCA and matlab.
Update : 2024-05-14 Size : 2048 Publisher : 刘磊
【Algorithm】 MLP_iris DL : 0: Iris flower classification using MLP
Update : 2024-05-14 Size : 1024 Publisher : Elyas
【SCM】 N3 DL : 0: 程序功能：在八位数码管上显示一个绕动的光圈，光圈的速度自由变化（快 >慢 >快）拨码开关设置：将SMG位拨至ON，其余拨至OFF 测试说明：观察数码管显示-Program features: eight digital tube display on an orbiting iris, iris free speed change (fast-> slow-> fast) DIP switch settings: SMG bit DIP to ON, the rest to the OFF Test Note: To observe the digital display
Update : 2024-05-14 Size : 118784 Publisher : ryan
【AI-NN-PR】 Iris_raecing DL : 0: 使用MATLAB编写的神经网络程序并在著名的机器学习数据集Iris上加以验证压缩文件中包含代码和数据集！-Using BPNN to classify Iris data set
Update : 2024-05-14 Size : 2048 Publisher : Raecing
【Graph program】 11 DL : 0: We return to the iris data of the previous example to illustrate the Rand index, by comparing the k-means results with the true class labels. First we get some of the needed information to construct the matching matrix.
Update : 2024-05-14 Size : 2048 Publisher : ss
【Mathimatics-Numerical algorithms】 BYS DL : 0: 该文件为Matlab上实现的贝叶斯分类算法，包含源码（含注释）、数据和运行结果。实例数据为UCI上下载的Iris数据包。-Bayesian classification algorithm developed in the Matlab,which contains the source code (including comments) and data(Iris Loaded the UCI), and operating results.
Update : 2024-05-14 Size : 6144 Publisher : 欧阳
【File Format】 00825279 DL : 0: Eye-gaze is an input mode which has the potential of an efficient computer interface. Eye movement has been the focus of research in this area. Non-intrusive eyegaze tracking that allows slight head movement is addressed in this paper. A small 2D mark is employed as a reference to compensate for this movement. The iris center has been chosen for purposes of measuring eye movement. The gaze point is estimated after acquiring the eye movement data. Preliminary experimental results are given through a screen pointing application
Update : 2024-05-14 Size : 666624 Publisher : avinash trivedi
【Technology Management】 04289893 DL : 0: This paper presents the segmentation algorithm used for localization of iris for the development of robust iris recognition algorithms for biometric process. Iris localization plays a vital importance in iris identification. The method determines an automated threshold for binarising and determines the pupil center based on a histogram of gray scale image. We present a detail comparison of several segmentation algorithms used in the current iris recognition systems-This paper presents the segmentation algorithm used for localization of iris for the development of robust iris recognition algorithms for biometric process. Iris localization plays a vital importance in iris identification. The method determines an automated threshold for binarising and determines the pupil center based on a histogram of gray scale image. We present a detail comparison of several segmentation algorithms used in the current iris recognition systems..
Update : 2024-05-14 Size : 230400 Publisher : avinash trivedi
【AI-NN-PR】 sli_ann_04 DL : 0: bp网络简单实现，iris数据测试正确率97 -bp network simple implementation, iris data test accuracy of 97
Update : 2024-05-14 Size : 5120 Publisher : sli

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