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Text detection method

A text detection and text technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as weak robustness and low success rate of text detection

Inactive Publication Date: 2018-05-15
HOHAI UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention overcomes the deficiencies in the prior art, provides a text detection method, and solves the technical problems in the prior art that the success rate of text detection is low and the robustness is not strong

Method used

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Embodiment Construction

[0081] The present invention provides a text detection method, by extracting and filtering the extreme value area, the character candidate area is obtained, the character area is further screened out from the character candidate area through the fusion of MSSH feature and depth convolution feature, and finally the character area is merged to obtain the text area. The detection method of the invention has strong robustness, high detection efficiency, and can quickly complete the character detection task.

[0082] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0083] like figure 1 Shown is a flow chart of the present invention, and the inventive method specifically comprises the steps:

[0084] Step 1: Input the text picture to be detected, and ex...

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Abstract

The invention discloses a text detection method. The method comprises the steps of extracting an extremal region of a to-be-detected text picture, and filtering the extremal region to obtain candidatecharacter regions; calculating an MSSH feature and a deep convolution feature, and fusing the MSSH feature and the deep convolution feature through an auto-encoder neural network to obtain a fused feature; according to the fused feature, further screening out character regions from the candidate character regions; and combining all the character regions to obtain a final text region. The detection method has very strong robustness; the detection efficiency is high; and a text detection task can be quickly finished.

Description

technical field [0001] The invention relates to a character detection method. Background technique [0002] As one of the most influential inventions of mankind, writing has played an important role in human life. The rich and precise information contained in the text is of great significance to the application of natural scene understanding based on visual semantics. An increasing number of multimedia applications, such as street scene understanding, traffic sign understanding for driverless cars, and semantic-based image retrieval, require accurate and robust text detection. The basic task of text detection is to determine whether there is text in scene images and videos, and if so, mark its location. In recent years, with the increase in the capability and number of image acquisition devices, the number of images and videos containing scene text has increased dramatically compared to the past. Therefore, text detection in natural scene images and videos has received mo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/40G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V10/30G06V10/267G06V10/44G06N3/045
Inventor 巫义锐黄多辉冯钧
Owner HOHAI UNIV
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