Barcode Location in Financial Statement System Based on the Partial Differential Equation Image Recognition Algorithm

Financial statements are the basis of financial analysis. Most of them are still using traditional financial statement software, and financial data cannot achieve better information sharing. Using a barcode to improve the efficiency of data sharing is undoubtedly the most convenient and fast way to...

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Bibliographic Details
Published in:Advances in mathematical physics 2021-12, Vol.2021, p.1-8
Main Authors: Ning, Jinghua, Yu, Song
Format: Article
Language:English
Subjects:
Algorithms
Bar codes
Control theory
Data retrieval
Edge detection
Efficiency
Financial analysis
Financial management
Financial statements
Hough transformation
Image enhancement
Image segmentation
Market positioning
Object recognition
Partial differential equations
Position (location)
Small & medium sized enterprises-SME
Software
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Summary:Financial statements are the basis of financial analysis. Most of them are still using traditional financial statement software, and financial data cannot achieve better information sharing. Using a barcode to improve the efficiency of data sharing is undoubtedly the most convenient and fast way to realize financial statement information sharing. This paper studies the problem of the barcode image location and recognition in the financial statement system and tries to apply the partial differential equation image recognition algorithm to the barcode location in the financial statement system. In this paper, image technology is used to preprocess the code 39 barcode label image in the captured image, including color space conversion, image enhancement, threshold segmentation, binarization, and edge detection. The barcode position location is realized by using the method based on integral projection peak analysis and Hough transform line detection. It is proved that the positioning function of the barcode makes the data in financial statements realize resource sharing. Then, the performance of the completed barcode positioning and recognition algorithm is tested. The reliability and effectiveness of the algorithm are verified on the manually made test set.
ISSN:1687-9120
1687-9139
DOI:10.1155/2021/9177159