面向海關(guān)稅收監(jiān)管的彩碼檢測(cè)與隨附單據(jù)處理方法研究
[Abstract]:With the rapid development of international trade and cross-border e-commerce, customs tax supervision and risk decision-making need to consider more and more data sources. On the basis of traditional structured data, it is necessary to extract and analyze unstructured data. Information is of great significance to the development of customs business.This paper mainly analyzes the barcode photos and the accompanying documents of customs declaration.Aiming at the detection and recognition of barcode,a fast color two-dimensional code(color code) detection method is proposed in this paper.The method regards the color code prototype as a group of four or eight kinds. We first detect the intersections in color coded images by using a crosspoint detection operator based on color difference, and then generate candidate regions by using binarization and connected region analysis. For the self-built 600 color-coded photo datasets, this method guarantees high efficiency and robustness on the basis of high accuracy. For the color-coded prototype proposed in this paper, the corresponding specification inference method is also proposed. Shadow transform is used to extract the edge information, and the size of the color code and the corresponding color value matrix are obtained by analyzing the distance relationship between the edges. This method has a good effect on the clear color code image on the flat surface. Segment detection method. Firstly, a ring median filter is used to eliminate the block foreground region in the image, and then one-dimensional convolution and normalization are carried out in horizontal and vertical directions respectively. The correctness of the line segment is judged. The method achieves high accuracy and recall rate simultaneously on 55 real document images.
【學(xué)位授予單位】:南京大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TP391.41
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