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Commodity price tag number identification method

A commodity price and digital recognition technology, applied in character recognition, character and pattern recognition, instruments, etc., can solve the problem of no good basis for recognition reliability

Inactive Publication Date: 2018-03-06
CHENGDU BIZ UNITED INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, OCR recognition is usually used for digital recognition of commodity prices, and OCR recognition mainly depends on the results of image preprocessing, and there is no good basis for the reliability of recognition

Method used

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  • Commodity price tag number identification method
  • Commodity price tag number identification method
  • Commodity price tag number identification method

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Embodiment Construction

[0019] The specific implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific examples.

[0020] Such as figure 1 As shown, the method for identifying digits on commodity price tags includes locating digits to be recognized, preprocessing digits to be recognized, cutting digits to be recognized, and pattern recognition. The specific steps of the recognition method are as follows:

[0021] 1) Enter the digital information of the product price tag picture;

[0022] 2) To locate the number to be identified, to identify the specification, barcode, original price, current price, and price reduction period of the product, and use template matching to determine the position of the number area to be identified;

[0023] 3) To pre-process the numbers to be recognized, aiming at the uneven illumination of commodity price tags, adopt adaptive local binarization or use expansion-corrosion morphologi...

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PUM

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Abstract

The invention discloses a commodity price tag number identification method which includes to-be-identified number positioning, to-be-identified number preprocessing, to-be-identified number cutting and pattern identification. The identification method includes the following specific steps: inputting commodity price tag image number information; to-be-identified number positioning: identifying thespecification, barcode, original price, current price and price reduction period of a commodity, and determining the position of a to-be-identified number area through template matching; to-be-identified number preprocessing: in view of uneven illumination on the price tag of the commodity, acquiring a minimum rectangle through adaptive local binarization or expansion corrosion morphological operation; to-be-identified number cutting: cutting the price tag number into single characters through a vertical projection method; and pattern identification, including fingerprint feature identification and number jump feature identification: extracting template number features, comparing the template number features with number cutting features, outputting the result if the output results are thesame, otherwise, outputting the result after multiple tests.

Description

technical field [0001] The invention belongs to the technical field of intelligent commercial price image recognition, and in particular relates to a method for digital recognition of commodity price tags. Background technique [0002] With the improvement of people's living standards, supermarkets have become an indispensable part of people. While satisfying material needs, people are also enjoying the shopping experience brought by supermarket shopping. For the comfort of the customer experience, a large number of manual checks are required every day to see if the merchandise on the shelf is placed correctly and whether the price of the merchandise is reasonable. This will invisibly increase the labor cost. Artificial intelligence can be used to solve this repetitive work. . At present, OCR recognition is usually used for digital recognition of commodity prices, and OCR recognition mainly depends on the result of image preprocessing, and there is no good basis for the rel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/54
CPCG06V30/153G06V10/20G06V30/10
Inventor 王栋栋
Owner CHENGDU BIZ UNITED INFORMATION TECH
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