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High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of t
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运用神经网络对26个大写的英文字母进行识别,对英文字母进行一定的图像处理,之后用神经网络进行分类-The use of neural network 26 uppercase letters of the alphabet recognition, the letters of the alphabet for a certain image processing, followed by neural network classification
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运用神经网络对26个大写的英文字母进行识别,对英文字母进行一定的图像处理,之后用神经网络进行分类-The use of neural network 26 uppercase letters of the alphabet recognition, the letters of the alphabet for a certain image processing, followed by neural network classification
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运用神经网络对26个大写的英文字母进行识别,对英文字母进行一定的图像处理,之后用神经网络进行分类-The use of neural network 26 uppercase letters of the alphabet recognition, the letters of the alphabet for a certain image processing, followed by neural network classification
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