Structure characteristic-based character recognition method

A technology of structural features and character recognition, applied in the fields of character recognition, banknote serial number extraction, and identification, can solve the problem of inability to accurately grasp the banknote serial number, weak ability to track the RMB serial number, and inability to accurately record and master the circulation of banknotes. And other issues

Inactive Publication Date: 2016-07-13
EASTERN COMM +1
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problems in the above-mentioned prior art that the ability to trace the serial number of RMB is weak, the serial number of banknotes cannot be accurately grasped, and the circulation situation of banknotes cannot be accurately recorded and grasped during the circulation process of banknotes, providing A Character Recognition Method Based on Structural Features

Method used

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  • Structure characteristic-based character recognition method

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Embodiment

[0025] A character recognition method based on structural features, characterized in that: comprising the following steps:

[0026] Step 1, locate the serial number area on the RMB grayscale image, obtain the grayscale image of the serial number and perform tilt correction;

[0027] Step 2, preprocessing the tilt-corrected grayscale image, determining a binarization threshold according to the brightness histogram of the target image, performing binarization processing on the target image, and obtaining a binarized image;

[0028] Step 3, mark the connected domain on the binary image, and extract the binary image of a single character according to the labeling result;

[0029] Step 4. Finally, the binary image of a single character is recognized according to the character structure features.

[0030] In the second step, the preprocessing of the tilt-corrected grayscale image is as follows: firstly enlarge the image by 1:4, and then use the convolution h to filter in the 3×3 ne...

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Abstract

The invention relates to a structure characteristic-based character recognition method. In order to solve defects in the prior art, the technical scheme of the invention comprises the following steps: 1, a serial number area is positioned on an RMB gray scale image, a gray scale image for the serial number is acquired, and tilt correction is carried out; 2, pretreatment is carried out on the gray scale image after tilt correction, a binarization threshold is determined according to a brightness histogram of a target image, binarization processing is carried out on the target image, and a binarization image is acquired; 3, connected component labeling is carried out on the binarization image, and a binarization image of a single character is extracted according to a labeling result; and 4, finally, according to character structure features, the binarization image of the single character is recognized.

Description

technical field [0001] This patent relates to the technical field of character recognition, in particular to the technical field of banknote serial number extraction and recognition, and in particular to a character recognition method based on structural features. Background technique [0002] In the financial equipment industry, automatic teller machines and deposit and withdrawal machines (ATM / CRS) have been widely used, and their convenient and efficient self-service reduces the pressure on bank counter services, and is also popular among users. Followed by the continuous controversy over counterfeit currency deposits and withdrawals, the People's Bank of China made detailed regulations on the recording, storage and query of serial numbers in Document No. 14 in 2013. Each banknote has a unique serial number, and mastering the serial number can accurately record and grasp the circulation of banknotes during the circulation process of banknotes. The serial number is of gre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07D7/20
CPCG07D7/20
Inventor 刘斌戴永峰
Owner EASTERN COMM
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