Extremum connected domain based Chinese character detection method in natural scene image

A technology of natural scene images and extremum connected domains, which is applied in the field of image processing, can solve problems such as unsatisfactory positioning, and achieve the effects of high accuracy, high initiative and precision

Active Publication Date: 2014-12-03
上海深杳智能科技有限公司 +1
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Problems solved by technology

[0006] The purpose of the present invention is to propose a Chinese detection method based on the extremum connected domain in the natural scene image for the current unsatisfactory situation i

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  • Extremum connected domain based Chinese character detection method in natural scene image
  • Extremum connected domain based Chinese character detection method in natural scene image

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[0044] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0045] Such as figure 1 As shown, this embodiment provides a text detection method based on extremum connected domains, and the process can be divided into the following steps:

[0046] Step 1: Get the input image, extract the maximum extremum region of the image separation, and obtain the connected domain;

[0047] Step 2: For each connected domain, extract the characteristic information of the connected domain;

[0048] Step 3: Merge the connected domains according to the obtained characterist...

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Abstract

The invention discloses an extremum connected domain based character detection method in a natural scene image. The method comprises the steps of acquiring the natural scene image firstly, and extracting a maximally stable extremal region separated from the natural scene image, wherein the output of the separated maximally stable extremal region is a series of non-overlapped regions, and each region is a connected component; after obtaining the connected components, extracting various features of the connected components, wherein the feature combination can well express the connected components; from the character structure, performing intra-character combination firstly, and then performing inter-character combination, wherein the intra-character combination method is for detecting a single character, and the inter-character combination method is for detecting text lines; and finally, analyzing angular point distribution of the text lines, screening to obtain a text region, and demarcating the text region by a rectangular frame. The method starts with character edge features, and has good pertinence in character detection, thereby having higher initiative and accuracy.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a text detection method based on extremum connected domains in natural scene images. Background technique [0002] Text is an important feature in many applications of computer vision. The text in the image contains a lot of useful information, which is crucial to the understanding and acquisition of visual content. The main purpose of text extraction is to convert text images into symbolic forms, which facilitates modification, retrieval, utilization and transmission. Text localization is an important step in text extraction. [0003] Text localization is the precise positioning of the text position in the image. The text localization method based on extremum connected domains first represents the image as connected domains one by one, and then proceeds from the structural analysis, marks the text lines through the merging method, and outputs the result. [0004] Tr...

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Application Information

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IPC IPC(8): G06K9/46
Inventor 陈凯周异周曲任逍航
Owner 上海深杳智能科技有限公司
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