End-to-end table detection and structure identification method and system
A table structure and structure recognition technology, applied in the field of computer vision, can solve the problem of inability to deal with the lack of dividing lines or the complete lack of wireless tables, and achieve the effect of improving robustness and versatility and reducing difficulty.
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[0081] Step 1: Image Preprocessing
[0082] This step performs a series of preprocessing operations on the input image. The image contains one or more tables. In view of the fact that most of the tables have the characteristics of compact rows and small row spacing, in order to improve the distinction between rows, this design first completes the vertical stretch transformation at this stage to increase the gap between rows. pixel distance between . The next preprocessing operation also includes normalizing the size of the image with a constant aspect ratio and adding 0 to the boundary, so that the size of the image can support the requirements of the neural network and maximize the retention of global and local feature information. During training, the image preprocessing stage also needs to complete the necessary data enhancement, such as image affine transformation (Rotation, Shear, Scale, etc.), color distortion, etc., so that the distribution of training samples is clos...
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