Correction method for warped document image

A document image, correction method technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of layout analysis and segmentation algorithm failure, distorted document images cannot be recognized, etc., to achieve high automation performance and correction effect. Good results

Inactive Publication Date: 2018-11-30
SUZHOU UNIV
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Handheld digital imaging equipment has the characteristics of simple, fast and non-contact imaging, which greatly enriches the acquisition methods of distorted document images, but distortion and perspective distortion will inevitably occur during the imaging process, resulting in optical character recognition (OCR) Layout analysis and segmentation algorithms in the software fail, making distorted document images unrecognizable

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Correction method for warped document image
  • Correction method for warped document image
  • Correction method for warped document image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0039] See figure 1 , the method for correcting a distorted document image according to an embodiment of the present invention includes the following steps:

[0040] S1. Obtain a distorted document image, and preprocess the distorted document image to obtain a binary image;

[0041] S2. Perform target extraction on the binary image to obtain a target image, and perform corner detection on the target image to obtain position information of the corner points;

[0042] S3. Perform connected domain detection according to the corner points and position information to generate a text box and fit a surface distortion function, and then determine the position mapping relationshi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a correction method for a warped document image. The method is characterized by comprising the steps that S1, the warped document image is acquired and preprocessed, and a binary image is obtained; S2, target extraction is performed on the binary image to obtain a target image, angular point detection is performed on the target image to obtain position information of angular points; S3, connected domain detection is performed according to the angular points and the position information to generate a textbox and fit a surface distortion function, and then a position mapping relation of the angular points before and after correction is determined according to the pin-hole imaging principle and the distortion correction principle; and S4, pixel spatial transformationis completed according to the position mapping relation, and finally grayscale interpolation is performed to obtain a corrected image. The correction method has the advantages of being high in automation performance, good in correction effect, simple and practical.

Description

technical field [0001] The invention relates to a method for correcting distorted document images. Background technique [0002] Handheld digital imaging equipment has the characteristics of simple, fast and non-contact imaging, which greatly enriches the acquisition methods of distorted document images, but distortion and perspective distortion will inevitably occur during the imaging process, resulting in optical character recognition (OCR) The layout analysis and segmentation algorithms in the software fail, making distorted document images unrecognizable. Therefore, the image restoration of this deformed document must first be carried out by means of image correction. Contents of the invention [0003] The purpose of the present invention is to provide a correction method for a distorted document image, which restores the distorted document image to a corrected image through a simple and practical correction algorithm, which has the characteristics of high automation ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/13
CPCG06T5/006G06T7/13
Inventor 潘明强久磊刘吉柱王阳俊
Owner SUZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products