Paper currency face and orientation recognition method and device

A recognition method and banknote technology, applied in character and pattern recognition, biological neural network models, computer components, etc., can solve the problems of banknote-oriented recognition and non-universality, and achieve the effect of improving recognition efficiency

Inactive Publication Date: 2015-08-19
SHENZHEN YIHUA COMP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, banknote-oriented recognition is based on the feature extraction and identification of banknotes. Different feature extractions are required for different currency value versions of different banknotes, and the identification part also needs to be modified accordingly according to the currency value version. When the environment changes (such as brightness changes, etc.), it will also lead to the modification of the corresponding technical solution, thus resulting in the non-universality of banknote-oriented recognition

Method used

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  • Paper currency face and orientation recognition method and device
  • Paper currency face and orientation recognition method and device
  • Paper currency face and orientation recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] figure 1 It is a flow chart of a banknote orientation identification method provided by Embodiment 1 of the present invention. This embodiment is applicable to the identification of banknote orientation on an ATM (Automatic Teller Machine, automatic teller machine). The method can be executed by the ATM, specifically including Follow the steps below:

[0042] Step 110, acquiring banknote images of banknotes to be identified.

[0043] The banknote image of the banknote to be recognized is collected by an image acquisition device (such as a camera, etc.).

[0044] Step 120: Divide the banknote image into a first set number of regions according to a set division rule.

[0045] Wherein, the set division rule stipulates how to divide the banknote image, that is, the manner of dividing the banknote image, and stipulates that the number of regions formed after the division of the banknote image is a first set number. Wherein, the first set number may be 20.

[0046] Step 1...

Embodiment 2

[0065] figure 2 It is a flow chart of a banknote-oriented identification method provided in Embodiment 2 of the present invention, which specifically includes the following steps:

[0066] Step 210, acquiring banknote images of banknotes to be identified.

[0067] Step 220: Divide the banknote image into a first set number of regions according to a set division rule.

[0068] Step 230, calculating the grayscale sum of each region in the banknote image to form a grayscale sum sequence with a first set number.

[0069] Step 240, performing normalization processing on the sequence to obtain a normalized sequence.

[0070] It can be known from step 230 that the data in the sequence represents grayscale. First find the maximum gray value in the sequence, divide the other gray values ​​in the sequence except the maximum gray value by the maximum gray value, then change the maximum gray value to 1, The position of each gray value in the sequence is kept unchanged, so as to obtai...

Embodiment 3

[0075] image 3 It is a schematic diagram of a banknote facing identification device provided in Embodiment 3 of the present invention, as shown in image 3 As shown, the banknote orientation identification device provided in this embodiment includes: banknote image acquisition module 310 , image area division module 320 , gray scale and sequence formation module 330 and banknote orientation identification module 340 .

[0076] Wherein, the banknote image acquiring module 310 is used to acquire the banknote image of the banknote to be identified;

[0077] The image area division module 320 is used to divide the banknote image into a first set number of areas according to a set division rule;

[0078] The grayscale sum sequence forming module 330 is used to calculate the grayscale sum of each area in the banknote image to form a grayscale sum sequence with a first set number;

[0079] The banknote orientation recognition module 340 is used to input the sequence of numbers int...

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Abstract

The invention discloses a paper currency face and orientation recognition method and a device. The method comprises steps: a paper currency image of to-be-recognized paper currency is acquired; according to a set division rule, the paper currency image is divided into a first set number of regions; the gray sum of all regions in the paper currency image is calculated, and a gray sum sequence with a first set number is formed; the sequence is inputted to a recognizer in a BP neural network for recognition so as to obtain the face and the orientation of the paper currency, wherein network parameters of the recognizer of the BP neural network are obtained through training. Recognition of the face and the orientation of the paper currency of different currency value versions can be realized, only one training needs to be carried out on the face and the orientation of the paper currency of different currency value versions, the network parameters can be obtained, the face and the orientation of each currency value version can be recognized universally, and as the BP neural network recognition mode is adopted, the recognition efficiency of the face and the orientation of the paper currency is improved.

Description

technical field [0001] The embodiment of the present invention relates to banknote identification technology, in particular to a banknote face-to-face identification method and device. Background technique [0002] In the automatic identification process of banknotes, the orientation of banknotes is the basis for all subsequent identification judgments. If the banknote version is oriented incorrectly, it will directly lead to misdetection of all subsequent recognition algorithms. Therefore, banknote orientation identification is the basis and necessary in the process of banknote identification. Identify steps. [0003] In the prior art, banknote-oriented recognition is based on the feature extraction and identification of banknotes. Different feature extractions are required for different currency value versions of different banknotes, and the identification part also needs to be modified accordingly according to the currency value version. When the environment changes (suc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07D7/20G06N3/02
Inventor 越荣中
Owner SHENZHEN YIHUA COMP
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