BP neural network-based steel seal character recognition method
A BP neural network and character recognition technology, which is applied in the field of stencil character recognition based on BP neural network, can solve the problems of poor image threshold segmentation, uneven lighting, and noise.
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[0081] The present invention will be further described below in conjunction with specific embodiment and accompanying drawing:
[0082] The embodiment of the present invention is a kind of steel seal character recognition method based on BP neural network, such as figure 1 shown, including the following steps:
[0083] (1), image acquisition: image acquisition is taken by a CCD industrial camera fixed on the industrial site, such as figure 2 As shown, the distance between it and the surface of the workpiece is basically fixed, and the distance may fluctuate in a small range with the difference in the placement of the workpiece;
[0084] (2) Image grayscale conversion: By reading the R, G, and B values of the picture pixels, the grayscale value Through the above operations, the color image is converted into a grayscale image;
[0085] (3) Use Gaussian filtering to smooth and denoise the image. The smoothness depends on the standard deviation. Its output is the weighted a...
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