Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automatic slant angle detecting method for scanned document image

A technology for automatic detection and scanning of images, applied in the field of image processing, can solve the problems of large amount of calculation, interference of noise and text characteristics, etc., to achieve the effect of resisting noise interference

Inactive Publication Date: 2015-03-25
HUNAN UNIV OF TECH
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is computationally intensive and is easily disturbed by noise and text characteristics

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
  • Automatic slant angle detecting method for scanned document image
  • Automatic slant angle detecting method for scanned document image
  • Automatic slant angle detecting method for scanned document image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention will be further described below in conjunction with the accompanying drawings.

[0025] Such as figure 1 As shown, the present invention includes seven steps of image truncation, image binarization, image stroke processing, region edge extraction, image region growth, region feature extraction and document slope extraction.

[0026] (1) Image binarization

[0027] Generally, the scanned document has a background color. After the image is binarized, the background color is removed, and only the foreground pixels of the document or image are retained. Suppose the document image is f , then the binarization method is:

[0028]

[0029] T is a given threshold of 130.

[0030] (2) Image truncation

[0031] After the image is binarized, there may be some blank areas around it. These areas have no effect on subsequent tilt detection, but will increase the amount of calculation. Therefore, in order to reduce the amount of computation for s...

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 an automatic slant angle detecting method for a scanned document image, and belongs to the technical field of image processing. An existing automatic detecting technology is poor in adaptability and noise-jamming-resisting capability. The slant angle of the scanned document image is calculated by carrying out the initializing, iterative stroke processing, foreground area edge extracting, area increasing, area feature extracting, slant angle extracting and other methods on the scanned document image. By means of the method, the slant angle of the document image can be automatically detected through the image processing technology. The method has the advantages that a very high noise-jamming-resisting capability is achieved, the method is unrelated to text texture and is suitable for complex situations with various image-text mixed arranging and various writing directions existing at the same time, and the method is suitable for Chinese and English documents.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an automatic detection method for an inclination angle of a scanned document image. Background technique [0002] With the rapid development of digital image processing technology, text recognition, image recognition, image restoration and other processing have become very important technical means, and most of their processing objects are digital images obtained by scanning documents. However, in the process of converting paper documents into digital document images through image acquisition equipment (such as digital cameras, scanners, etc.), due to the influence of human factors or scanner errors, the scanned images usually have a certain inclination. This inclination brings different degrees of difficulties to the post-image processing, such as affecting the analysis and understanding of the layout, causing errors in the segmentation of text areas, graphi...

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
IPC IPC(8): G06K9/00G06K9/46
CPCG06V30/40G06V10/44
Inventor 文志强曾志高朱文球
Owner HUNAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products