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

File image binaryzation method

A document image and binarization technology, applied in the field of image processing and pattern recognition, to achieve the effect of improving the character recognition rate and the recognition rate.

Inactive Publication Date: 2007-08-22
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF5 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to propose a new document image binarization method, which can not only handle The processing of ordinary document images shows superior performance to other methods for low-quality document images such as illumination changes, blurring, and insufficient resolution, as well as Chinese document images

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
  • File image binaryzation method
  • File image binaryzation method
  • File image binaryzation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0039] This embodiment applies the entire method of the present invention to the image binarization process, as shown in FIG. 1 . For this method, the input image is a grayscale image I(x, y), the grayscale value is 0 for black, the grayscale value is 255 for white, and the value between 0 and 255 is uniform from black to white Gradually change the gray level, the gray level of the characters in the document image is lower than the gray level of the background. The flow of this embodiment is shown in Figure 1, and the following steps are performed:

[0040] Step 1, initial calibration of foreground and background pixels

[0041] The purpose of the initial segmentation is to calibrate the foreground and background pixel area with high efficiency, and obtain an initial foreground and background segmentation line, so as to prepare for the implementation of the enhancement algorithm. At this stage, it is necessary to overcome the brightness change of the background and suppress ...

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

This invention relates to an image process and mode identification technology, especially to a binary method for file images, which carries out initial rating of front background pixel to an image to analyze stroke adjacent domain information including grayness information, grads information and geometrical information then to reinforce the image to character strokes based on the stroke adjacent domain information and finally carries out binary-state on the reinforced image. This invention also puts forward a quick rating method and an improved method for getting a binary threshold value based on the Niblack.

Description

technical field [0001] The invention relates to the technical field of image processing and pattern recognition, in particular to a binarization method of document images. Background technique [0002] Image binarization refers to an image processing technique that converts a grayscale image into a monochrome image for further analysis and processing. The application of document images is becoming more and more widespread. The first step in our processing is often to binarize the document images, and then obtain text images on this basis, and then perform text recognition. The result of image binarization directly affects the result of text recognition. [0003] In document images, degradation phenomena such as illumination changes, blurring, and lack of resolution have a negative impact on binarization. They often result in a lot of background pixels that are very close to the grayscale of the text pixels near the text pixels. When the gray level distribution of the fore...

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): G06K9/38
Inventor 朱远平王春恒戴汝为
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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