Connection body and template-based character identification method

A character recognition and connector technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as large and bloated program packages, cumbersome maintenance and use, and poor results.

Inactive Publication Date: 2018-08-10
宁波市科技园区明天医网科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0005] However, the disadvantage of the above solution is that it cannot recognize super large or small characters, template customization and template superposition are particularly troublesome, and the effect is not good
The package is huge and bloated, and maintenance and use are cumbersome

Method used

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  • Connection body and template-based character identification method
  • Connection body and template-based character identification method
  • Connection body and template-based character identification method

Examples

Experimental program
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Embodiment 1

[0041] Such as Figure 1-Figure 5 As shown, the character recognition method based on connectors and templates provided in this embodiment includes the following steps:

[0042] a. Acquire character images: acquire character images to be recognized in a specified area;

[0043] b. Convert grayscale image: convert the color image to grayscale image, that is, convert the data structure of the color image into a YUV data structure, remove the UV chromaticity block in the YUV data structure, and keep the Y data block, that is, the brightness block.

[0044] c. Image binarization: set the threshold, set the brightness value in the computer memory greater than the set threshold to 255, and set it to 0 if it is smaller than this value; usually, a brightness value of 0 represents black, and a brightness value of 255 represents White. In this way, an image with only pure white characters and a pure black background is obtained.

[0045] d. Connected body algorithm to achieve charact...

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PUM

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Abstract

The invention discloses a connection body and template-based character identification method. By obtaining a character image, converting a grayscale image, performing image binarization, realizing character segmentation by a connection body algorithm, loading character templates, performing template matching and outputting an identification result, number and image identification is realized. According to the connection body and template-based character identification method, while conventional character identification can be supported, the problem that non-conventional, namely, super-large orsuper-small or irregular font characters cannot be identified is solved; self-defined templates become simple and easy to operate; the character templates are added directly on an original template;and combination of multiple templates can be conveniently realized.

Description

technical field [0001] The invention relates to the fields of optical recognition and medical image processing, in particular to a character recognition method based on connectors and templates. Background technique [0002] In the hospital's electronic film printing system, character recognition technology is required to identify the patient number and examination number on the electronic film, match the patient information according to the identified information, and perform subsequent patient self-service film printing services. [0003] At present, recognition engines include tesseract, office document image, and ABBYY. Their recognition characters are characterized by conventional font styles and conventional font sizes, which can meet the needs of 90% of recognition scenarios; but in medical imaging equipment, some imaging equipment Many characters produced on the image are irregular in shape, and the characters are extremely small. They can barely be seen with the nak...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/38G06K9/62
CPCG06V30/153G06V10/28G06V10/751
Inventor 向保松王井俊唐武斌简刚
Owner 宁波市科技园区明天医网科技有限公司
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