Description: 基于BP网络的印刷体数字识别技术的完整案例,对图像处理及其BP神经网络付有完整的程序,并可以允许,同时还附有大量的测试图片-Digit recognition technology integrity cases, right image processing and neural network BP to pay the full process and allows, but also with a large number of test pictures Platform: |
Size: 199680 |
Author:严沁 |
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Description: This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing begins and recognize the digit and returns you the result. I used correlation matching algorithm for character recognition and k-neighbor classifying algorithm to select the true digit. Database includes handwritten digit examples which are collected from a hundred persons. These digit images converted to binary type before added to the database.-This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing be Huggins and recognize the digit and returns you the result. I used correlation matching algorithm for character recognition and k-neighbor clas sifying algorithm to select the true digit. Dat abase includes handwritten digit examples whi ch are collected from a hundred persons. These d igit images converted to binary type before add ed to the database. Platform: |
Size: 41984 |
Author:Toby |
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Description: 这是一个识别手写数字的程序,可以通过修改模板,也可以识别数字、英文字符验证码-This is a hand-written digit recognition procedure, may amend a template, you can identify the number of English characters Verification Code Platform: |
Size: 48128 |
Author:吴艳雄 |
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Description: BP神经网络,是利用人工智能的方法,训练权值,建立模式识别的模型。本程序,采用三层神经网络,对隐层的节点个数使用经验公式,对其他的参数设置也进行了优化,实现了手写数字的识别,-BP neural network is the use of artificial intelligence methods, weight training, the establishment of pattern recognition models. This procedure, using three neural networks, on the number of hidden layer nodes using the empirical formula, on the other parameters are also optimized to achieve a hand-written digit recognition, Platform: |
Size: 263168 |
Author:胡存英 |
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Description: 手写体数字识别的VC实现
使用神经网络算法对手写体数字进行识别,训练后识别率可达90%左右。-Handwritten Digit Recognition of the VC to achieve the use of neural network algorithm for handwritten numeral recognition, training, recognition rate can reach about 90. Platform: |
Size: 210944 |
Author:lissdd |
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Description: MATLAB 神经网络用于数字识别源程序,可以很好的识别数字,Digits Recognition有说明-MATLAB neural network for digital identification of the source code, you can identify the number of good, Digits Recognition described Platform: |
Size: 148480 |
Author:何平 |
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Description: 应用matlab程序,实现了对手写数字的识别,准确率非常高。-Matlab application procedures, to achieve the hand-written digit recognition, the accuracy rate is very high. Platform: |
Size: 196608 |
Author:吕晋普 |
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Description: generateclassifier.py Python脚本来创建文件digits_cls.pkl分类器。
performrecognition.py Python脚本测试分类。
digits_cls.pkl -数字识别的分类器文件。
photo_1.jpg测试图像1号测试分类器
photo_2.jpg测试图像号码2测试分类(generateClassifier.py - Python Script to create the classifier file digits_cls.pkl.
performRecognition.py - Python Script to test the classifier.
digits_cls.pkl - Classifier file for digit recognition.
photo_1.jpg - Test image number 1 to test the classifier
photo_2.jpg - Test image numbre 2 to test the classifier) Platform: |
Size: 113664 |
Author:wangyue1995 |
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