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Natural scene text detecting method based on extraction of linear structures

A linear structure, text detection technology, applied in the field of pattern recognition

Inactive Publication Date: 2015-04-29
CENT SOUTH UNIV
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AI Technical Summary

Problems solved by technology

[0004] Text extraction from natural scene images is a challenging subject due to the diversity of scene texts and the complexity of backgrounds

Method used

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  • Natural scene text detecting method based on extraction of linear structures
  • Natural scene text detecting method based on extraction of linear structures
  • Natural scene text detecting method based on extraction of linear structures

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Embodiment Construction

[0081] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0082] like figure 1 Shown is a schematic flow chart of the method of the present invention, to figure 2 (a) Take text detection as an example, the specific steps are as follows:

[0083] Step 1, input the original color image, such as figure 2 As shown in (a), get its R, G and B color channels, such as figure 2 (b-d);

[0084] Step 2, respectively calculate the Hessian matrix transformation results of each pixel in different color channels:

[0085] H ( x , y ) = | ∂ 2 I ∂ ...

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Abstract

The invention discloses a text detecting method based on extraction of linear structures. A text connection region can regard as a combination of the linear structures which are in different shapes. The natural scene text detecting method comprises the following steps of roughly positioning text regions by extracting the linear structures; performing color clustering and region growth based on color distances to obtain a complete text connection region from the initial text regions; and further analyzing geometric and spatial position features of the connection region to obtain a candidate text character string. Extraction of the linear structures is based on a multi-scale Hessian matrix filtering method, a channel R, a channel G and a channel B of an original colorful image are operated respectively, and influences of illumination on the image are overcome to a certain degree by the text detecting method; the text detecting method can be used for well detecting texts with different sizes and different stroke widths by color clustering of Gaussian mixed models, region growth of color distances and a two-step color analysis method; and the robustness of the method is further improved.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and relates to a natural scene text detection method based on linear structure extraction. Background technique [0002] With the wide application of image acquisition devices such as digital cameras, cameras, and ultra-high-speed scanners, natural scene text images have received extensive attention. These images usually provide a lot of useful information, among which text information is particularly important. This is because text information is easy to recognize and understand, and can be widely used in related systems and devices, such as visual assistance systems for the blind, travel translation systems, information retrieval systems, robot vision navigation, etc. Therefore, text extraction from natural scene images is an important topic in the field of computer vision. In order to recognize text in natural scene images, experts have designed many OCR character recognition sys...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/20G06K9/34G06K9/62
Inventor 邹北骥吴慧陈再良赵于前
Owner CENT SOUTH UNIV
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