Text area determination method and device, computer equipment and storage medium

A text area and determination method technology, applied in computer parts, calculations, instruments, etc., can solve the problem of text detection technology losing its effect, achieve good generalization ability, strong detection ability, and improve accuracy
CN112132142APending Publication Date: 2020-12-25深圳平安医疗健康科技服务有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
深圳平安医疗健康科技服务有限公司
Publication Date
2020-12-25

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Abstract

The invention relates to the technical field of artificial intelligence, and discloses a text area determination method and device, computer equipment and a storage medium. The method comprises the following steps that: a target image feature vector is input into a text region prediction model for prediction, wherein the text region prediction model is a model obtained by training based on a U-shaped convolutional neural network; a Gaussian graph prediction value and a minimum bounding rectangle deflection angle prediction value output by the text region prediction model are obtained; and edgeexpansion and deflection angle correction are performed on a Gaussian image corresponding to the Gaussian image prediction value according to the Gaussian image prediction value and the minimum bounding rectangle deflection angle prediction value to obtain a target text region. Therefore, the method has good generalization ability, has strong detection ability for a bent text region, and improvesthe accuracy of the target text region.
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Description

technical field

[0001] The present application relates to the technical field of artificial intelligence, in particular to a method, device, computer equipment and storage medium for determining a text region. Background technique

[0002] Text detection technology is a very important module in OCR (Optical Character Recognition), and its main function is to locate text areas in images or videos. It is a very simple biological ability for humans to find text areas in images or videos, but in the field of OCR recognition systems or artificial intelligence, it represents the highest level of research results.

[0003] Conventional text detection technology often extracts image features through artificially designed extraction methods. Since this extraction method is only effective for text detection in simple scenes, it will lose its effect in slightly complex scenes, for example, in the length and width of text. When the scale changes greatly, it is easy to misreport because...

Claims

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