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图像预处理包括图像平滑、图像分割、二值化、图像形态学处理和轮廓提取。轮廓提取是使用八邻域边界跟踪算法。在手势的特征提取部分，使用边界傅立叶描绘子的手势特征提取算法。针对手势的识别，采用了基于 BP 神经网络的识别方法-Image pre-processing, including image smoothing, image segmentation, binarization, morphological image processing and contour extraction.
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利用支持向量机以及神经网络对车牌号码进行识别。-Number Plate Recognition Using SVM and Neural Networks
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有关车牌识别的程序，是支持向量机和神经网络一起写的。包括车牌的预处理、定位、分割、字符识别等。-For license plate recognition program, support vector machines and neural networks wrote together. Pretreatment including the license plate, positioning, segmentation and character recognition.
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道路场景识别，通过对样本图像处理和特征提取，再通过bp神经网络进行学习，最后通过学习后得到的权值进行样本识别。-Road scene recognition, through the sample image processing and feature extraction, and then through bp neural network learning, and finally by learning the weights obtained after the sample ide
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基于opencv的身份证号码识别，识别使用BP神经网络-Opencv identification number identification based on BP neural network recognition use
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利用神经网络和模板匹配的识别算法，亲测可用，本人原创-By using neural network recognition algorithm and template matching, close test is available, I original
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