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Image identification method and device

An image recognition and grayscale image technology, applied in the field of image processing, can solve the problems of high cost of sensors, affecting recognition efficiency, wear and other problems, and achieve the effect of reducing costs

Active Publication Date: 2017-01-25
SHENZHEN YIHUA COMP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the process of recognizing banknotes by machines such as banknote counters instead of people, the banknotes must be placed in accordance with the preset position of the machine, and cannot be placed arbitrarily.
At the same time, banknotes will inevitably be stained or worn during the circulation process.
Although the existing methods can quickly identify the currency value of banknotes, the placement of banknotes will affect the recognition efficiency, and the tiny smudges or other image noise on the banknotes will also affect the recognition results of banknotes, and even wrong recognition or failure may occur. Phenomena such as recognition
If the value of banknotes is identified based on the color of different banknotes, since the color image has three color components, the amount of image information is large, so the data storage requirements are higher, and the algorithm processing speed will be slower
At the same time, the cost of the sensor used to collect color images will be relatively high

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] figure 1 It is a flowchart of an image recognition method provided in Embodiment 1 of the present invention. The method of this embodiment can be performed by an image recognition device, wherein the device can be implemented by software and / or hardware, and generally can be integrated into financial equipment such as automatic ticket vending machines or banknote counters. Such as figure 1 As shown, the image recognition method provided in this embodiment specifically includes the following steps:

[0067] Step 110, acquiring the grayscale image of the feature region of the banknote to be tested.

[0068] Wherein, the banknote to be tested may be Indonesian rupiah, or other banknotes with different basic figures on the surface. At the same time, the area where the basic graphics on the banknote is located can be used as the characteristic area of ​​the banknote. In general, the color of banknotes is colored in the RGB model (additive color mixing model), which is ob...

Embodiment 2

[0081] figure 2 It is a flowchart of an image recognition method provided by Embodiment 2 of the present invention. This embodiment refines the step "obtaining the grayscale image of the feature region of the banknote to be tested" in the first embodiment. refer to figure 2 , the embodiment of the present invention specifically includes the following steps:

[0082] Step 210, identifying the facing and orientation of the banknote to be tested.

[0083] Exemplarily, the recognition of the currency value of the banknote is generally based on the difference of the basic graphics on the banknote to identify the currency value. In general, there will be a clear denomination and its associated graphics on the front of the banknote. Therefore, when identifying the banknote to be tested, the orientation of the banknote may preferably be the front side. Exemplary, such as Figure 6 As shown, in the process of identifying the currency value of the Indonesian rupiah, the currency...

Embodiment 3

[0093] image 3 It is a flow chart of an image recognition method provided in Embodiment 3 of the present invention. This embodiment refines the process after "binarizing the grayscale image of the feature region to generate a binarized image" in the above embodiment. refer to image 3 , the embodiment of the present invention specifically includes the following steps:

[0094] Step 310, identifying the facing and orientation of the banknote to be tested.

[0095] Step 320 , from the images of the set face and set orientation of the banknote to be tested, extract the image of the set position as the grayscale image of the feature area.

[0096] Step 330, perform binarization processing on the grayscale image of the feature region to generate a binarized image.

[0097] Step 340, performing filtering processing on the binarized image by using the median filtering method;

[0098] Preferably, the binarized image can be filtered by using a median filtering method. Among them,...

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Abstract

The invention discloses an image identification method and device. The method comprises obtaining the gray level image in the characteristic region of paper currency to be detected; performing the binarization processing for the gray level image in the characteristic region to generate a binarization image; calculating the contour length of the binarization image and obtaining the contour coordinates of the binarization image; transforming the contour coordinates to corresponding polar coordinates and judging the currency value of the paper currency to be detected according the shape features corresponding to the polar coordinates. Through the above scheme, the currency value of the paper currency can be effectively identified according to the pattern in the characteristic region of paper currency with cost reduced.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image recognition method and device. Background technique [0002] With the development of the economy, the circulation of banknotes is increasing, and intelligent unmanned toll collection systems based on banknote recognition technology have appeared in many industries. For example, banknote recognition technology can be applied not only to automatic vending and ticket sales, but also to systems such as bank ATMs or automatic payment machines in business halls. At the same time, the invention of the banknote counter has also provided convenience for various industries. The application of the banknote identification device saves a lot of human resources and greatly improves the work efficiency. [0003] At present, the currency value of banknotes is generally identified through the security line code or the size of banknotes. Although this...

Claims

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Application Information

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IPC IPC(8): G07D7/20
CPCG07D7/2008G07D7/2016
Inventor 周彦华
Owner SHENZHEN YIHUA COMP
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