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Banknote authentication method, device, equipment and storage medium

An identification method and banknote technology, applied in the field of image processing, can solve problems such as weak noise adaptability, cumbersome steps, and reduced relative position accuracy, and achieve the effect of improving accuracy

Active Publication Date: 2020-05-15
SHENZHEN YIHUA COMP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, it is cumbersome to determine the position distribution of preset characters in banknotes to be identified one by one
Moreover, determining the position distribution of the preset characters in the banknotes to be identified one by one will reduce the relative position accuracy between the preset characters, and the adaptability to noise will be weak, thus affecting the accuracy of identifying whether the banknotes are spliced ​​banknotes

Method used

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  • Banknote authentication method, device, equipment and storage medium
  • Banknote authentication method, device, equipment and storage medium
  • Banknote authentication method, device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] Figure 1a It is a flow chart of a banknote identification method provided by Embodiment 1 of the present invention. This embodiment can be applied to the situation of splicing and identification of banknotes, for example, the case of an abnormal identification of deposited banknotes by an ATM. It can be performed by a banknote authentication device, which can be implemented by software and / or hardware, and specifically includes the following steps:

[0073] Step 110, acquiring binary images of banknotes to be identified.

[0074] Wherein, the grayscale images of both sides of the banknote to be identified are acquired by the image sensor, the grayscale image of the preset side is selected, and the grayscale image is converted into a binary image. The preset side is a side including preset characters for identifying banknotes.

[0075] Step 120 , using a preset matching method, determine the area in the binary image of the banknote to be identified that has the highest...

Embodiment 2

[0083] figure 2 It is a flow chart of a banknote identification method provided by Embodiment 2 of the present invention. The technical solution of this embodiment is further refined on the basis of the above technical solution. The method includes:

[0084] Step 210, acquiring binary images of banknotes to be identified.

[0085] Step 220 , in the binary image of the banknote to be identified, move the preset character template according to the preset step size and moving track.

[0086] Wherein, the preset character template can be moved pixel by pixel according to a moving track from left to right and from top to bottom. The preset step size can be adjusted, for example, 2 pixels can also be used as the preset step size to move the preset character template in the binary image of the banknote to be identified.

[0087] Step 230, determine the matching degree of the preset character template at each position in the binary image of the banknote to be identified.

[0088] ...

Embodiment 3

[0094] image 3 It is a flow chart of a banknote identification method provided by Embodiment 3 of the present invention. The technical solution of this embodiment is further refined on the basis of the above technical solution. The method includes:

[0095] Step 310, acquiring binary images of banknotes to be identified.

[0096] Step 320 , using a preset matching method, determine the area in the binary image of the banknote to be identified that has the highest matching degree with the preset character template as the area to be inspected.

[0097] Step 330: Perform traversal matching or snapshot matching on the pixels within the bounding rectangle of at least two preset characters in the preset character template and the area to be checked.

[0098] Wherein, the pixels in the circumscribed rectangular frame of the preset character form a two-dimensional matrix, and the similarity comparison between the two-dimensional matrix and the pixels of the area to be inspected is per...

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Abstract

The invention discloses a paper money identification method and device, equipment and a storage medium. The paper money identification method comprises the following steps: acquiring a binary image ofto-be-identified paper money; determining a region with the highest matching degree with a preset character template in the binary image of the to-be-identified paper money as a to-be-detected regionaccording to a preset matching manner, wherein the preset character template is obtained according to the binary image of standard paper money in a preset character region; matching a single preset character in a to-be-detected region according to the preset character template, and determining the position distribution of at least two preset characters in the to-be-detected region; and when the difference of the position distribution of the at least two preset characters in the to-be-detected region and the position distribution of the at least two preset characters in the preset character template is in a preset allowance range, determining that the to-be-identified paper money is normal paper money. According to the paper money identification method, the accuracy for identifying whetherthe paper money is spliced paper money is increased.

Description

technical field [0001] The embodiments of the present invention relate to image processing technology, and in particular to a banknote identification method, device, equipment and storage medium. Background technique [0002] Banknotes may be broken during circulation, and banknotes may be artificially spliced ​​together. [0003] In the prior art, the identification of banknotes is to determine the position distribution of the preset characters in the banknotes to be identified one by one after selecting a plurality of preset characters for the identification of the banknotes. [0004] However, it is cumbersome to determine the position distribution of the preset characters in the banknotes to be identified one by one. Moreover, determining the position distribution of the preset characters in the banknotes to be identified one by one will reduce the relative position accuracy between the preset characters, and the adaptability to noise will be weak, thus affecting the acc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G07D7/202
Inventor 赵玉民李杰
Owner SHENZHEN YIHUA COMP