文件名称:Letter-recognition
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基于神经网络, 采用 Matlab 6. 5 和 Visual C, 设计一个字母识别系统。 该系统通过对 BMP 图片的二值化
处理,在 VC 环境下调用 Matlab,并将把二值化后的数据进行网络训练,从而实现 26 个英文字母的识别。 系统性能的测试表明,系统所训练的神经网络有很好的抗干扰能力。-The design letter recognition system based on neural network, using Matlab 6. 5 and Visual C,. The system by BMP image binarization processing, called VC environment Matlab, and the binarization data network training, in order to achieve the recognition of the 26 letters of the alphabet. System performance tests show that the neural network training system has a good anti-jamming capability.
处理,在 VC 环境下调用 Matlab,并将把二值化后的数据进行网络训练,从而实现 26 个英文字母的识别。 系统性能的测试表明,系统所训练的神经网络有很好的抗干扰能力。-The design letter recognition system based on neural network, using Matlab 6. 5 and Visual C,. The system by BMP image binarization processing, called VC environment Matlab, and the binarization data network training, in order to achieve the recognition of the 26 letters of the alphabet. System performance tests show that the neural network training system has a good anti-jamming capability.
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Letter recognition.pdf
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