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A method and device for detecting text in natural scene images

A technology for natural scene images and texts, applied in the field of text detection, can solve the problem of low accuracy of text detection

Active Publication Date: 2020-11-06
HUAWEI TECH CO LTD
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] This application provides a method and device for detecting text in natural scene images to solve the problem of low accuracy in detecting text in natural scene images of different complexity in the prior art

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  • A method and device for detecting text in natural scene images
  • A method and device for detecting text in natural scene images
  • A method and device for detecting text in natural scene images

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Embodiment Construction

[0032] In order to make the purpose, technical solution and advantages of the present application clearer, the embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0033] Embodiments of the present application provide a method and device for detecting text in natural scene images to solve the problem of low accuracy in detecting text in natural scene images of different levels of complexity in the prior art. Among them, the method and the device are based on the same inventive concept. Since the principles of the method and the device to solve problems are similar, the implementation of the device and the method can be referred to each other, and the repetition will not be repeated.

[0034] The method and device for detecting text in natural scene images provided in the embodiments of the present application can be applied to devices for detecting text in natural scene images, such as computers, tablet computers, smart...

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Abstract

The invention discloses a method and an apparatus for detecting a text in a natural scene image, and aims to solve the problem of relatively low precision of detecting texts in natural scene images ofdifferent complex degrees in the prior art. The method comprises the steps of obtaining the natural scene image; through an FCN model, performing convolution operation on the obtained natural scene image to obtain convolution features of the natural scene image; according to the convolution features of the natural scene image, determining a text candidate region sequence comprised in the naturalscene image; and for each text candidate region in the text candidate region sequence, executing operations of extracting a convolution feature of the text candidate region through a region-of-interest pooling layer, converting the convolution feature of the text candidate region into an eigenvector of a fixed dimension k through feature conversion, and according to a time recurrent network modeland the eigenvector of the fixed dimension k, determining the position of a text line comprised in the text candidate region, wherein k is a positive integer.

Description

technical field [0001] The present application relates to the technical field of text detection, in particular to a method and device for detecting text in natural scene images. Background technique [0002] Natural scene images refer to images directly captured by various shooting devices (such as cameras, mobile phones with shooting functions, etc.) on real scenes in life without specific restrictions. Text in natural scene images can provide rich semantic information. For example, text information identifying streets, license plates, menus, etc. in natural scene images can help people understand scene information conveniently. Therefore, text in natural scene images can be accurately detected is very necessary. However, text detection in natural scene images is a challenging task due to factors such as differences in fonts, colors, formats, etc., and highly cluttered backgrounds of texts in natural scene images. [0003] At present, methods for detecting text in natural...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/32G06K9/46G06K9/62G06N3/04G06N3/08
Inventor 王凯陈院林乔宇贺通
Owner HUAWEI TECH CO LTD
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