Method and system for outputting text line content after document image checkbox state recognition

Abstract

The invention discloses a method and system for outputting text line content after document image checkbox state recognition, and relates to the field of image processing. The method comprises the steps of inputting and preprocessing an original image is input and preprocessed; obtaining a direction angle of an original image, performing direction correction on the original image and a textbox according to the direction angle of the original image, outputting the original image and the textbox after direction correction, identifying text line content in the textbox after direction correction,and positioning a checkbox area through the textbox; carrying out boundary expansion on the textbox containing the checkbox area to obtain a mark search box, cutting out a mark search box image, and identifying the state of the checkbox according to the mark search box image; and correcting the text line content in the identified textbox based on the identified checkbox state, and outputting the corrected text line content. According to the method, the complexity of document recognition can be greatly reduced, and the engineering realization difficulty is greatly reduced.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and a system for outputting the content of a text line after identifying the state of a check box in a document image. Background technique [0002] In all walks of life, there are still many paper documents that need to be saved, processed, retrieved, etc., especially in the financial field such as banking, securities, insurance, mutual funds, finance, taxation and other industries. In the past, the digitization of these paper documents was generally manually entered. With the continuous popularization of OCR technology, many industries have gradually adopted OCR recognition technology instead of manual entry, which has greatly improved work efficiency. There are a lot of check-box information in bank and insurance paper documents, which need to be filled in according to the fixed-format documents. However, the extraction of these checked information is currently a diff...

AI Technical Summary

Problems solved by technology

[0005] 2. Complicated collection methods: With the popularization of collection devices such as mobile phones, tablets, cameras, scanners, and cameras, especially mobile phones, document image acquisition methods have shifted from traditional scanning methods to shooting methods. At present, more than 90% of documents The images are taken rather than scanned. Due to the complex background of the taken images, compared with scanners, they are not as good as scanners in various conditions such as background, resolution, orientation, illumination, font, character size, etc., and cannot Uniform specification

[0006] 3. The content of the image is complex: the image that needs to identify the checked information is very complex according to the content. There are various bank documents (such as bills, vouchers, account opening application forms, etc.), and various insurance documents (such as insurance policies, reimbursement vouchers, Medical documents), various government documents, etc.

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