Description: 本文将BP神经网络应用于汽车车牌的自动识别，在车牌图像进行预处理后的基础上，重点讨论了用BP神经网络方法对车牌照字符的识别。并附有部分识别代码。-BP neural network used in the automatic vehicle identification number plates, images of the license plates after pretreatment on the basis of discussion focused on the BP neural network method for car license plate character recognition. Accompanied by some identification code. Platform: |
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Author:小博士 |
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Description: 本文将BP神经网络应用于汽车车牌的自动识别，在车牌图像进行预处理后的基础上，重点讨论了用BP神经网络方法对车牌照字符的识别。并附有部分识别代码。-BP neural network used in the automatic vehicle identification number plates, images of the license plates after pretreatment on the basis of discussion focused on the BP neural network method for car license plate character recognition. Accompanied by some identification code. Platform: |
Size: 3984384 |
Author:小博士 |
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Description: 将BP神经网络应用于汽车车牌的自动识别,在车牌图像进行预处理后的基础上,重点讨论了用BP神经网络方法对车牌进行处理-BP neural network will be used in automatic car license plate recognition, license plate images in the pre-treated on the basis of the discussion focused on using BP neural network method for processing of license plate Platform: |
Size: 857088 |
Author:王名 |
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Description: 基于不变矩理论，提出一种应用概率神经网络作为识别器的车牌汉字识别技术。利用Pseudo-Zernike 矩特征的旋转不变性和良好
的抗噪性能，将其作为车牌汉字识别的特征矢量，结合Pseudo-Zernike 矩的快速算法和概率神经网络识别器快速学习和识别的性能，可适
应实时环境下所获取的车牌汉字灰度图像的识别，具有较高的准确率，实验结果表明了该方法的有效性。-】This paper presents a novel approach based on Pseudo-Zernike Invariant Moments(PZIM) and Probabilistic Neural Network(PNN) to
recognize license plate Chinese characters. The approach makes better use of the rotation invariant and good anti-noise performance of
Pseudo-Zernike moments and quick learning rate of PNN, and thus provides a real-time recognition of gray character images by utilizing
Pseudo-Zernike moments as feature vectors and Probabilistic Neural Network as classifier. Numeral experiment confirms that it is an effective way
to classify license plate Chinese characters. Platform: |
Size: 1236992 |
Author:ll |
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Description: 一个自己编的车牌识别程序，采用BP神经网络实现，效果较好。（图片和程序都在一个文件夹里）-A license plate recognition program to achieve good effect.It is written by myself using BP neural network to achieve it. Platform: |
Size: 31706112 |
Author:许风 |
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Description: 包含特征值与特征向量的提取、训练样本以及最后的识别，Wtnjiha参数使用大量的有限元法求解偏微分方程，通过matlab代码，数学方法是部分子空间法，NyYSpzM条件基于人工神经网络的常用数字信号调制，车牌识别定位程序的部分功能。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Wtnjiha parameter Using a large number of finite element method to solve partial differential equations, By matlab code, Mathematics is part of the subspace, NyYSpzM condition The commonly used digital signal modulation based on artificial neural network, Part of the license plate recognition locator feature. Platform: |
Size: 6144 |
Author:ybdnfe |
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Description: 通过matlab代码，包括AHP，因子分析，回归分析，聚类分析，匹配追踪和正交匹配追踪，预报误差法参数辨识-松弛的思想，BP神经网络用于函数拟合与模式识别，是一种双隐层反向传播神经网络，供做算法研究人员参考，车牌识别定位程序的部分功能。- By matlab code, Including AHP, factor analysis, regression analysis, cluster analysis, Matching Pursuit and orthogonal matching pursuit, Prediction Error Method for Parameter Identification- the idea of relaxation, BP neural network function fitting and pattern recognition, Is a two hidden layer back propagation neural network, Algorithm for researchers to do reference, Part of the license plate recognition locator feature. Platform: |
Size: 8192 |
Author:gjhejr |
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Description: 包含特征值与特征向量的提取、训练样本以及最后的识别，BP神经网络用于函数拟合与模式识别，车牌识别定位程序的部分功能，采用累计贡献率的方法，可以实现模式识别领域的数据的分类及回归，采用波束成形技术的BER计算，阵列信号处理的高分辨率估计，添加噪声处理。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, BP neural network function fitting and pattern recognition, Part of the license plate recognition locator feature, The method of cumulative contribution rate You can achieve data classification and regression pattern recognition, By applying the beam forming technology of BER High-resolution array signal processing estimates, Add noise processing. Platform: |
Size: 9216 |
Author:hqrjt |
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Description: 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 also possible to open a separate image for image preprocessing step by step, but be careful, every step can only be d once, and according to the order execution. " 256-color bitmap into grayscale" - " grayscale binary" - " de-noising" - " inclination correction" - " Split" - " standard size" - " austerity rearrangement." Neural network trained to recognize, recognition rate of 90 Platform: |
Size: 3878912 |
Author:李红贤 |
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