Method and system for automatically detecting whether bill is incomplete or not
An automatic detection and bill technology, applied in the field of intelligent identification, can solve the problems of low detection efficiency, unfavorable batch processing of bills, unavoidable accidental errors in human visual inspection, etc., to achieve high detection efficiency, reduce human participation, and reduce accidental errors Effect
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Embodiment 1
[0098] In this embodiment, the information of the four corners of the front color image of the bill is used to detect the incompleteness of the bill: firstly, the front color image of the bill is scanned; then the four corner areas of the bill are intercepted according to preset parameters ( Figure 7 area of the oblique line in ), calculate the value of each color component in the four corner areas; sort the sum of the color components in the four corner areas; finally judge whether the bill is incomplete according to the degree of discrimination of the color values. Its specific implementation steps are:
[0099] Step 1, scan the front color image of the bill;
[0100] Step 2, intercepting the four-corner areas of the bill, and calculating the color component values of the four-corner areas;
[0101] Step 3, calculate the sum of each color component of the four corner regions, and sort the sum of the color components in ascending order;
[0102] Step 4. Distinguish the...
Embodiment 2
[0105] This embodiment combines the front and back color images of the bill to comprehensively judge whether the bill is incomplete: first, use the scanning device to scan the front and back images of the bill at the same time, and reduce the image size proportionally; then divide the front and back images, and perform left and right mirror images on the back image ; Next, mark the front and back binary images; finally calculate the coincidence value of the marked target of the front and back images, and judge the incompleteness of the bill according to the relationship between the calculated coincidence value and the set threshold. Its specific implementation steps are as follows:
[0106] Step 1, scan the front and back color images of the bill;
[0107] Step 2, reducing the size of the front and back color images proportionally to reduce the amount of subsequent calculations;
[0108] Step 3, converting the scaled color image into a grayscale image, and performing binariza...
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