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利用神经网络进行车牌识别,图像先进行二值化,通过多次学习从而建立满足一定要求的识别网络。-License Plate Recognition using neural networks, the binary image before, through multiple learning to recognize the establishment of the network meet certain requirements.
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本文将BP神经网络应用于车牌的自动识别,在简述BP神经网络的基础上,重点讨论了用BP神经网络方法对车牌照字符的识别,用MATLAB完成了对车牌照数字识别的模拟,最后得出实验结果,证明这种方法是高效-BP neural networks used in automatic license plate recognition, in brief, based on BP neural network, focused on the BP neural network method for vehic
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计算多重分形非趋势波动分析matlab程序,用MATLAB编写的遗传算法路径规划,车牌识别定位程序的部分功能。- Calculation multifractal detrended fluctuation analysis matlab program, Genetic algorithms using MATLAB path planning, Part of the license plate recognition locator feature.
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构成不同频率的调制信号,车牌识别定位程序的部分功能,用MATLAB编写的遗传算法路径规划。- Constituting the modulated signals of different frequencies, Part of the license plate recognition locator feature, Genetic algorithms using MATLAB path planning.
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很好的一个车牌检测程序,检测率很高,快速卷积神经网络SoftwareMatlab R2016b
Matlab R2016b(plate lisence detectionMatlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset : http:/
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用matlab实现车牌试别,包括定位、分割和字符识别,识别方法是神经网络。(Using MATLAB to realize license plate classification, including location, segmentation and character recognition. The recognition method is neural network.)
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