Random-shape scene character detection method and device of asymptotic regression boundary

A text detection and arbitrary shape technology, applied in the field of computer vision, can solve problems such as difficulty in generating smooth boundaries, slowing down algorithm speed, and segmentation effects, and achieve the effects of enhancing boundary feature expression, improving execution speed, and strong detection ability

Active Publication Date: 2021-07-20
INST OF INFORMATION ENG CAS
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AI Technical Summary

Problems solved by technology

Due to the interference of the background, many misjudgments are likely to occur, such as judging the pixels of the text area as the background, or misjudge the background as the text area
Moreover, such methods are usually difficult to produce smooth boundaries, which will have a negative impact on some practical applications
In addition, this type of method usually involves complex post-aggregation processing, which requires processing a large number of pixels, thereby slowing down

Method used

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  • Random-shape scene character detection method and device of asymptotic regression boundary
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  • Random-shape scene character detection method and device of asymptotic regression boundary

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[0059] The technical solutions in the embodiments of the present invention will be apparent from the drawings in the embodiment of the present invention. Based on the embodiments of the present invention, those skilled in the art are in the range of the present invention in the scope of the present invention without making in the pre-creative labor pre-.

[0060] Any shape scene text detection method of the present invention, such as figure 1 As shown, including:

[0061] 1) Extract the characteristic expression of the input image;

[0062] 2) Use the horizontal text recommendation box to generate a network predictive text center point and the scale of the external rectangular frame to generate a horizontal text candidate box;

[0063] 3) Sampling the horizontal candidate frame, then extract the characteristics of the boundary sampling point and use the boundary aggregationAggregation, CIA, enhance the characteristic expression of the boundary sampling point to evolve the boundary...

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Abstract

The invention discloses a random shape scene character detection method and device of an asymptotic regression boundary, and the method comprises the steps of extracting visual features of a to-be-detected image, carrying out the feature fusion of the visual features, and obtaining a feature expression; inputting the feature expression into a horizontal suggestion box generation network to generate a horizontal character candidate box; inputting the feature expression and the horizontal character candidate box into a direction suggestion box generation network to generate a direction character suggestion box; and inputting the feature expression and the direction character suggestion box into the character boundary generation network in any shape to obtain a scene character detection result. According to the invention, more accurate and smooth character boundaries can be generated through asymptotic regression, the positions of more accurate points are obtained through the geometric topological relation and the semantic relation between boundary sampling points, and the model has better generalization, more effective execution speed and higher detection capacity.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method and a device for detecting a character in an arbitrary-shaped scene with an asymptotic regression boundary. Background technique [0002] In modern social life, images are a popular information carrier, which widely exist in cyberspace to convey rich information. As a more direct information carrier since ancient times, text also contains rich and accurate high-level semantic information. When text is carried by images, it can not only directly convey text information, but also help to understand the deep meaning of images. Therefore, how to detect and recognize the text in the image has very important application value in real life, which is mainly reflected in four aspects: (1) Deeply intelligent visual question answering or description system. For a given image, the machine can intelligently combine the text information in the image to answer or ...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/62G06N3/04
CPCG06V20/62G06N3/045G06F18/2193
Inventor 操晓春代朋纹张三义张华
Owner INST OF INFORMATION ENG CAS
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