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Method for extracting outline of carved character

An outline and character technology, which is applied in the field of extracting and characterizing outlines, and can solve the problems of inconvenient character feature extraction.

Active Publication Date: 2016-01-27
SHANDONG JIANZHU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using the two-phase model and single-level set can only extract part of the contour, but the two contours extracted by using the multi-phase model and bi-level set have intersection or overlap, and one curve cannot be used to represent the entire contour of a character. Subsequent processing such as character feature extraction brings a lot of inconvenience

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  • Method for extracting outline of carved character
  • Method for extracting outline of carved character

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0029] As shown in Figure 1(a), it is the original character image, in order to extract the outline of the character "G". The present invention includes:

[0030] Step 1, the histogram analysis of the optical character image is carried out, and the high gray value area and the low gray value area of ​​the character are obtained by using the multiphase active contour model and the double level set method;

[0031] The histogram analysis determines the high and low gray value regions of the characters that can be obtained using the multiphase active contour model and the bilevel set method.

[0032] In the character image, a complete stroke may contain two types of pixels with low gray value and high gray value. Such as figure 2 Shown is a histogram for the character "G". Analysis of the grayscale distribution of pixels shows that the background grays...

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Abstract

The invention discloses a method for extracting the outline of a carved character, and the method comprises the steps: carrying out histogram analysis of an optical character image, and obtaining a high-gray-value region and a low-gray-value region of the character through a multi-phase activity outline model and a double-parallel-set method; carrying out local histogram analysis of the obtained high-gray-value region and low-gray-value region, determining the gray value transformation coefficient according to the gray value distribution and corresponding relation of the obtained high-gray-value region and low-gray-value region, and converting a multi-phase image into a double-phase image; employing an activity outline model which can employ local information, extracting the outline of a single-parallel-set method, and enabling the outline to serve as the outline of the carved character. The extracted character outline is complete and accurate, and the features of the character can be conveniently extracted through the results.

Description

technical field [0001] The invention relates to contour extraction of optically carved characters, in particular to a method for extracting the contour of carved characters. Background technique [0002] Engraving characters are markings formed by marking tungsten carbide marking pins or marking pins inlaid with industrial diamonds directly into the material of metal workpieces. They are often used for marking and tracking of automobiles, motorcycles, engines and other parts. Optically inscribed characters are inscribed character images obtained by image acquisition equipment under a light source. Accurately extracting the outline of optically inscribed characters is a necessary process for character recognition and character error (missing strokes, breaks, etc.) detection. [0003] At present, there are many methods for extracting optical character outlines, mainly using image segmentation methods, such as threshold-based, region-based, edge-based, graph theory-based, energ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/20
CPCG06V10/22
Inventor 许鸿奎曲怀敬韩晓
Owner SHANDONG JIANZHU UNIV
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