Banknote identification method and device
A banknote identification and banknote technology, which is applied in the field of banknote identification methods and devices, can solve the problems of slow forgery verification speed, inability to meet high requirements for banknote verification speed, and cumbersome processes.
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Embodiment 1
[0064] Figure 1a This is a flowchart of a banknote recognition method provided in the first embodiment of the present invention. The method in this embodiment can be executed by a banknote recognition device, which can be implemented by hardware and / or software, and can generally be integrated in a banknote In the device with the authentication function. The method of this embodiment specifically includes:
[0065] S110: Obtain a grayscale image of a preset feature area of the banknote to be tested.
[0066] In this embodiment, the banknote to be tested may specifically be a banknote of any currency type, and the preset characteristic area specifically refers to any area in the banknote to be tested, and typically may be a shofar area in the RMB.
[0067] Generally speaking, when conducting anti-counterfeiting detection of banknotes, firstly, infrared or ultraviolet light is used to irradiate the banknotes, and then the grayscale image of the banknotes is obtained, and then the gr...
Embodiment 2
[0084] figure 2 It is a flowchart of a banknote recognition method provided in the second embodiment of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiment. In this embodiment, it is determined whether the edge image includes standard reference points according to the number of edge points in rows and the number of edge points in columns in the edge image. The optimization is: The sum of the number of edge points of each reference row and the sum of the number of edge points of each reference column; judge whether there are edge points in each reference row and the rows greater than the preset row and threshold; if the sum of edge points in each reference row is greater than the preset row and threshold Then continue to determine whether there are edge points and columns greater than the preset column and threshold in each reference column. If there are no edge points and rows greater than the preset row and threshold in each refer...
Embodiment 3
[0110] image 3 It is a flowchart of a banknote recognition method provided in the third embodiment of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiment. In this embodiment, it is determined whether the edge image includes standard reference points according to the number of edge points in rows and the number of edge points in columns in the edge image. The optimization is: The edge value of all pixels in the preset range, where the edge value is the sum of the number of edge points in the row of the pixel and the sum of the number of edge points in the column; determine whether there is an edge value in each pixel in the preset range that is greater than the preset Pixels with edge values; if there is a pixel with an edge value greater than the preset edge value in each pixel within the preset range, then the pixel is determined to be a standard reference point; if there is no pixel within the preset range with an edge value grea...
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