A method for identifying bank note information

Abstract

The invention discloses a bank bill information identification method, comprising the following steps: S1: denoising the image of the bill; S2: performing tilt correction on the denoised image; S3: correcting the continuous digital area in the corrected image Extraction; S4: Carry out boundary positioning on the extracted continuous digital area; S5: Segment the continuous digital area with good boundary positioning to obtain several digital area blocks; S6: Carry out single character segmentation on the digital area block; S7: Pass Template matching finds the character with the highest similarity to the character to be recognized, and classifies the character to be recognized according to the similarity of the template; S8: For the classified character to be recognized, according to the difference between the templates of each type of character to be recognized, set Determine the corresponding algorithm, and finally determine the recognition result of the character to be recognized. The invention can overcome the deficiency of the traditional working mode of manpower processing bills, and improve work efficiency.

Description

technical field [0001] The invention relates to image processing technology, in particular to a bank note information identification method. Background technique [0002] OCR technology can be divided into text-type OCR and professional-type OCR according to the object of use. Text-based systems often include two major functions: layout processing and text recognition. The layout processing includes layout tilt correction, layout analysis, and marking the sequence of text to be recognized; while text recognition is the recognition of text sequence blocks. , you can convert the image of the text into the internal code of the text machine. At present, Tsinghua Wentong (TH-OCR), Shenyang Institute of Automation (SY-OCR), Beixin (BI-OCR) and so on are more common. Most of the professional systems are for specific industries, such as the financial system, customs, taxation and other information formats are relatively fixed, and the amount of character recognition is relatively ...

AI Technical Summary

Problems solved by technology

However, the division and identification management of bills is not very good. Therefore, various enterprises and units are very inefficient in the process of processing bills, and there are also some problems: (1) The backup of paper bills is small. It is easy to cause information loss when biting, which may lead to irreparable problems; (2) the authenticity of paper bills can only be judged by manpower, but it is easy to interfere and misjudge the judgment results on subjective factors; (3) Paper bills need to be manually archived and manually searched, which will cause waste of manpower and material resources, and will also bring a lot of financial resources to the enterprise, and the service quality is very low; (4) Paper bills cannot be processed in the information age. Online transmission makes some financial requirements impossible to meet; (5) bill information is diverse, and the digital information is not as correlated as Chinese characters, and the entire digital string will be wrong due to misjudgment during manual reading, making the message delivery error

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