Search - iris

Search - iris - List

【Software Engineering】 canny DL : 0: canny edge technique for iris recognition system
Update : 2024-04-29 Size : 1024 Publisher : veeru
【Special Effects】 irisDetectation DL : 0: 完整的虹膜识别的算法完整的虹完整的虹膜识别的算法膜识别的算法-iris dectation and iris recognition
Update : 2024-04-29 Size : 6174720 Publisher : xiaofeng
【DataMining】 TreeGrowthForIris DL : 0: 数据挖掘十大算法之一，决策树归纳算法，用于iris.data数据，能够实际运行-Data mining is one of ten algorithms, decision tree induction algorithm for iris.data data, can actually run
Update : 2024-04-29 Size : 4096 Publisher : 何志强
【Other】 Parameters DL : 0: Sum of squared error for 50 of Iris data (75) trained for 8,000 iterations-Sum of squared error for 50 of Iris data (75) trained for 8,000 iterations
Update : 2024-04-29 Size : 899072 Publisher : naresh
【OpenCV】 irisgraphy-master DL : 0: Irisgraphy is python openCV project to track color of iris,eye-ball, for genetic purpose based another projects and all peaple help tp improve.
Update : 2024-04-29 Size : 14336 Publisher : jinjiang
【File Format】 Iris DL : 0: Iris___Normalization__Feature Extraction
Update : 2024-04-29 Size : 649216 Publisher : ALI
【matlab】 bp DL : 0: BP神经网络分类iris数据，对函数y=sqrt（x）的逼近，里面包含了iris数据。-BP neural network classification of iris data, the function y=sqrt (x) approximation, which contains the iris data.
Update : 2024-04-29 Size : 4096 Publisher : 桃子
【File Format】 Iris-Recognition DL : 0: Iris__Recognazation__Feature Extraction
Update : 2024-04-29 Size : 599040 Publisher : ALI
【AI-NN-PR】 bpiris DL : 0: bp神经网络对iris数据进行分类，已含iris.data-BP neural network for classification of iris data, including iris.data
Update : 2024-04-29 Size : 3072 Publisher : 桃子
【matlab】 elm DL : 0: ELM对iris数据的分类，以及预测和训练。-ELM for iris data classification, and prediction and training.
Update : 2024-04-29 Size : 176128 Publisher : 桃子
【File Format】 group9 DL : 0: iris document recognation
Update : 2024-04-29 Size : 1122304 Publisher : najm
【File Format】 10.5923 DL : 0: iris document recognation
Update : 2024-04-29 Size : 1532928 Publisher : najm
【File Format】 chp DL : 0: iris document recognation
Update : 2024-04-29 Size : 124928 Publisher : najm
【File Format】 14_3 DL : 0: iris document recognation
Update : 2024-04-29 Size : 647168 Publisher : najm
【File Format】 13-19 DL : 0: iris document recognation
Update : 2024-04-29 Size : 773120 Publisher : najm
【JSP/Java】 BPNN DL : 0: 使用梯度下降的bp神经网络实现iris数据的分类的java程序，适合初学者-BP neural network using gradient descent to achieve iris data classification of the Java program, suitable for beginners
Update : 2024-04-29 Size : 12288 Publisher : 王耀民
【CSharp】 ZKFingerTest DL : 0: 由于人体的身体特征具有不可复制的特点，人们把目光转向了生物识别技术，希望可以籍此技术来应付现行系统安全所面临的的挑战。要把人体的特证用于身份识别，这些特征必须具有唯一性和稳定性。研究和经验表明，人的指纹、掌纹、面孔、发音、虹膜、视网膜、骨架等都具有唯一性和稳定性的特征，即每个人的这些特征都与别人不同、且终生不变，因此就可以据此识别出人的身份。基于这些特征，人们发展了指纹识别-Since the physical characteristics of the human body can not be copied features, people turned to biometrics, hoping to take this technology to meet the current challenges facing the security systems. Take special permit for human identification, these features must be unique and stability. Research and experience shows that human fingerprints, palm prints, face, pronunciation, iris, retina, skeletal and so has unique features and stability that each person with these characteristics are different others, and the same life, and therefore It could then identify the person' s identity. Based on these characteristics, it has been developed fingerprint identification
Update : 2024-04-29 Size : 93184 Publisher : cjf
【Special Effects】 hough DL : 0: 虹膜识别源代码，使用霍夫变换检测定位人眼球，hough变换，然后提取出分割出的虹膜，带有原测试图像-Iris recognition source code, Hough transform to detect the positioning eye, hough transform, and then extract the segmented iris image with the original test
Update : 2024-04-29 Size : 3229696 Publisher : xpudn98
【AI-NN-PR】 Bayes DL : 0: 利用贝叶斯网络对IRIS数据（鸢尾花）进行分类，含原始数据-Bayesian network IRIS data (iris) are classified, including raw data
Update : 2024-04-29 Size : 5120 Publisher : 牛善涛
【matlab】 BPN-based-iris-Recongition DL : 0: method for automatic blood vessel detection based on mathematical morphology and coye filter. The proposed method performs certain preprocessing steps on the gray-scale of the input image to enhance image quality. The blood vessels are highlighted using by using contrast enhancement and average filter. The blood vessel in image is finally detected using coye filter. The performance of the proposed method was uated. The results confirm that the proposed method detects blood vessels quite efficiently and accurately. The comparison with other state of the art methods shows that the proposed method outperforms the other methods.-method for automatic blood vessel detection based on mathematical morphology and coye filter. The proposed method performs certain preprocessing steps on the gray-scale of the input image to enhance image quality. The blood vessels are highlighted using by using contrast enhancement and average filter. The blood vessel in image is finally detected using coye filter. The performance of the proposed method was uated. The results confirm that the proposed method detects blood vessels quite efficiently and accurately. The comparison with other state of the art methods shows that the proposed method outperforms the other methods.
Update : 2024-04-29 Size : 2335744 Publisher : kvmanas

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