搜索资源列表
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载入数字车牌,智能识别,检测返回识别的数字,此外,也可以单独对打开的图片一步一步进行图像预处理工作,但要注意,每一步工作只能执行一遍,而且要按顺序执行。
“256色位图转为灰度图”-“灰度图二值化”-“去噪”-“倾斜校正”-“分割”-“标准化尺寸”-“紧缩重排”。采用神经网络进行训练识别,识别率达到90 -Loading digital license plate, identification, detection returns the identification number, is
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本案例描述了图像中手写阿拉伯数字的识别过程,对手写数字识别的基于统计的方法进行简要介绍和分析,并通过开发一个小型的手写体数字识别系统来进行实验。手写体数字识别系统需要实现手写数字图像的读取功能、特征提取功能、数字的模板特征库的建立功能及识别功能-This case describes the image recognition process handwritten Arabic numerals, a brief descr iption and analysis of the handwri
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实现数字卡片识别功能,效果非常好,可以准确识别0-9这10个数字-Digital card recognition function, the effect is very good, you can accurately identify the 10 digits 0-9
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一个案例,离散Hopfield神经网络的联想记忆—数字识别-Associative memory digital recognition of discrete Hopfield neural networks
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用卷积神经网络实现的手写数字识别(minst),可直接运行,识别率较高。用Tensorflow实现-Handwritten digital recognition (minst) with convolution neural network can be run directly and the recognition rate is high. Implemented with Tensorflow
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手写体数字识别的程序,用了三种方法,贝叶斯,最近邻和BP神经网络,用MATLAB编写的,算法简单易懂,结构清晰-Handwritten digital recognition procedures, using three methods, Bayesian, Nearest Neighbor and BP neural network, written in MATLAB, the algorithm is easy to understand, clear structure
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关于编译原理中数字的识别,用的是上下文无关文法,不错的(About the compiling principle of digital recognition, USES the context-free grammar, good)
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MNIST手写体数字识别库及图片提取代码MNIST手写数字库识别实现摘要手写数字识别是模式识别的应用之一。文中介绍了手写数字的一些主要特征,并提出了截断次数特征并利用截断次数特征进行了实验(MNIST handwritten digital identification library and picture extraction code MNIST handwritten numeral library identification implementation summary Handwr
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MATLAB 神经网络用于数字识别源程序,不错的源码 很好用(MATLAB neural network used for digital recognition source, good source is in good condition)
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opencv的camshift程序+注释,用于手势数字识别(Opencv CAMSHIFT program + notes, used for gesture digital recognition)
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Files for handling digital recognition
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ann数字识别,对于初学者有一定的帮助,对图像处理有一定的帮助(Ann digital recognition)
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OCR 数字识别 自由手写体 离线 matlab平台 识别0-9的数字(OCR digital recognition free handwritten off-line matlab platform to identify 0-9 numbers)
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OCR 数字识别 大写字母识别 自由手写体数字识别 离线 matlab平台 模式识别 识别数字0-9 识别大写字母(OCR digital recognition free handwritten off-line matlab platform to identify 0-9 numbers)
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分类算法数字识别,KNN算法,
调用代码
import lyqKnn
from numpy import *
lyqKnn.handwritingClassTest()(Classification algorithm digital recognition)
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这是一个关于用数字识别训练一个手写数字识别的深度神经网络事例(This is a deep neural network example that uses digital recognition to train a handwritten numeral recognition)
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use to develop stm32 Digital recognition and handwriting recognition library
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基于神经网络识别的手写数字识别系统,有gui界面(Handwritten digital recognition system based on neural network recognition)
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用SVM进行数字识别,不过成功率不是特别高(Using SVM for digital recognition)
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基于概率神经网络的手写体数字识别Matlab程序(Handwritten digital recognition Matlab program based on probabilistic neural network)
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