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Banknote quality detection system and method based on deformation restoration technology

A detection system and detection method technology, which is applied in the direction of instruments, calculations, characters and pattern recognition, etc., can solve the problems of difficult to distinguish between different printings, difficult positioning and alignment of offset printing areas and gravure printing areas, and achieve the effect of tolerating geometric distortion

Active Publication Date: 2016-03-23
XIAN BANKNOTE PRINTING +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the technical problems of the existing image defect detection method that it is difficult to distinguish between different printing times during the positioning process, and the offset printing area and the gravure printing area are difficult to locate and align, the present invention provides a banknote quality detection system based on deformation restoration technology and method

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  • Banknote quality detection system and method based on deformation restoration technology
  • Banknote quality detection system and method based on deformation restoration technology
  • Banknote quality detection system and method based on deformation restoration technology

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Experimental program
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Embodiment

[0072] The first step of detection is positioning: that is, each detection area is determined by the positioning kernel. This step is basically the same as the current positioning method, but sub-pixel alignment is not required. The computational complexity is related to the search range, the size of the positioning core, and the number of positioning cores.

[0073] The second step of detection is reconstruction: for the convenience of illustration, the following takes a 100×100 image block as an example.

[0074] 1) Data reconstruction first needs to project the data x into the trained linear subspace data.

[0075] y=U k '(x-μ)

[0076] where U k ' Get Uk for the training phase.

[0077] 2) Reconstruct to the original space using the first k eigenvectors.

[0078] x ^ = U k y + μ .

[0079] in to reconstruct the image.

[0080] Specifical...

Embodiment 2

[0085] next to Image 6 The R component of the region is detected, and there are 800 training samples in total. The location kernel 1 size is 100×100, and the image size is 600×1100. Positioning core 2 size 80×80

[0086] In this embodiment, two positioning kernels are used, such as Figure 7 a and Figure 7 As shown in b.

[0087] For two positioning nuclei, there are two measurements, where Figure 8 a-8d is the process of reconstructing an image with better quality and no defects, and finding the difference to realize the detection; Figure 9 a-9d is the process of reconstructing an image with obvious quality defects and finding the difference. Here the two results are for different test images. Just the difference between the two test samples.

[0088] In one inspection, more than one positioning core is often needed to complete the positioning. In the RMB inspection, there are two printings of offset printing and gravure printing, and there is an overprinting rela...

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Abstract

The invention relates to a banknote quality detection system and a method based on deformation restoration technology. In the banknote quality detection, the employed algorithm reserves main characteristics of image data of a training set and common changes, data irrelevance in the training set is removed, a real-time image is reconstructed, related data portions in the training set in the image are reserved, irrelevant portions in the image are removed, the real-time image and the reconstructed image are compared point to point to obtain a difference image, and defects are detected after thresholding. According to the system and the method, problem of inaccurate layering of offsetting and intaglio areas in a positioning process by the conventional method is solved, offsetting and intaglio do not need to be distinguished in a detection process, geometric distortion can be tolerated, and offsetting and intaglio boundaries and positions which simultaneously belong to the neighborhood of the offsetting and intaglio areas and are difficult to be located and detected are detected. According to the system and the method, the detection precision is improved, the detection false alarms are reduced, a machine can be reminded to rapidly and accurately discover problems, and the product quality is effectively controlled in time.

Description

technical field [0001] The invention relates to a banknote quality detection system and method based on deformation recovery technology. Background technique [0002] Currently, in the existing image defect (difference) detection process, it is necessary to accurately register the real-time image with the reference image and perform point-to-point comparison. When the point-by-point comparison difference is greater than a certain threshold, it is considered that there is a difference in the corresponding position of the real-time image. Defect detection can be performed after a series of processing on the difference image. The key to this detection method lies in the precise registration of the image. The detection can only be performed after the real-time image is completely aligned with the reference image (sub-pixel level). There are the following difficulties in the alignment process: [0003] 1. Due to the different printing times, there will be small fluctuations in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24
Inventor 吴炜占鸣王皓敖阗陈勇张殿斌孟然
Owner XIAN BANKNOTE PRINTING