Character recognition method and device, electronic equipment and readable storage medium

A text recognition and recognition technology, applied in the field of computer vision, can solve the problems of limited application scenarios and low recognition accuracy

Pending Publication Date: 2020-05-19
BEIJING KUANGSHI TECH
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Problems solved by technology

[0004] It can be seen that the applicable scenarios of related technologies are very limited, a

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  • Character recognition method and device, electronic equipment and readable storage medium
  • Character recognition method and device, electronic equipment and readable storage medium
  • Character recognition method and device, electronic equipment and readable storage medium

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Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0037] In the field of computer vision technology, the mainstream technologies of text recognition include: attention algorithm based on recurrent neural network and algorithm based on semantic segmentation. These two mainstream recognition technologies have good recognition results for regular, undistorted standard strings with large character spacing, but for irregular, distorted, small character strings, or complex background environments. It is difficult to obtain accu...

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Abstract

The embodiment of the invention provides a character recognition method and device, electronic equipment and a readable storage medium, and aims to improve the recognition accuracy of character recognition. The method comprises the steps of obtaining N character sequence segmentation images of a to-be-recognized image, wherein the pixel value of each pixel point in the nth character sequence segmentation image in the N character sequence segmentation images represents the possibility that a character corresponding to the pixel point is the nth character; obtaining M character category segmentation images of the to-be-identified image, wherein the pixel value of each pixel point in the mth character category segmentation image in the M character category segmentation images represents the possibility that the pixel point belongs to the mth character; and determining a character sequence and a character category of each character in the to-be-identified image according to the pixel valueof each pixel point in each character sequence segmentation image and the pixel value of each pixel point in each character category segmentation image.

Description

technical field [0001] The embodiments of the present application relate to the technical field of computer vision, and in particular, to a character recognition method, device, electronic device, and readable storage medium. Background technique [0002] Computer vision technology is a technology that uses cameras, mobile phones, computers and other electronic devices to replace human eyes to identify, track or measure objects in images. Among them, text recognition is an important branch technology in the field of computer vision technology. Text recognition has a wide range of application scenarios, such as document recognition, bill recognition, advertising trademark recognition, road sign recognition in automatic driving technology, license plate recognition, etc. [0003] In related technologies, in order to make electronic devices recognize character strings in images instead of human eyes, an attention algorithm based on a recurrent neural network or an algorithm ba...

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Application Information

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IPC IPC(8): G06K9/34G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V30/153G06V10/267G06V30/10G06N3/045G06F18/2415
Inventor 万昭祎何明航陈浩然姚聪
Owner BEIJING KUANGSHI TECH
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