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Text recognition method and device and feature extraction neural network training method and device

A text recognition, neural network technology, applied in the computer field

Pending Publication Date: 2022-03-29
ALIBABA GRP HLDG LTD
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Problems solved by technology

At present, the mainstream text recognition decoders in the industry (such as CTC and Attention) generally can only solve the problem of one-dimensional text or short sequence two-dimensional text recognition.

Method used

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  • Text recognition method and device and feature extraction neural network training method and device
  • Text recognition method and device and feature extraction neural network training method and device
  • Text recognition method and device and feature extraction neural network training method and device

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Embodiment Construction

[0097] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the specification. However, this specification can be implemented in many other ways different from those described here, and those skilled in the art can make similar extensions without violating the connotation of this specification, so this specification is not limited by the specific implementations disclosed below.

[0098] Terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only, and are not intended to limit one or more embodiments of this specification. As used in one or more embodiments of this specification and the appended claims, the singular forms "a", "the", and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of the present specification refers t...

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Abstract

The embodiment of the invention provides a text recognition method and device and a feature extraction neural network training method and device.The text recognition method comprises the steps that a to-be-recognized text picture is obtained; the text picture is input into a feature extraction neural network to be processed, a two-dimensional feature map of the text picture is obtained, and the two-dimensional feature map comprises characters in the text picture; predicting characters in the two-dimensional feature map to obtain a two-dimensional prediction result map containing predicted characters; and processing the prediction characters in the two-dimensional prediction result graph to obtain a recognition result of the characters in the text picture.

Description

technical field [0001] The embodiment of this specification relates to the field of computer technology, and in particular to a text recognition method. One or more embodiments of this specification also relate to a text recognition device, a feature extraction neural network training method, a feature extraction neural network training device, a computing device, and a computer-readable storage medium. Background technique [0002] With the development of deep learning and the expansion of application scenarios, the main research object in the field of document-based OCR (English: Optical Character Recognition, abbreviated: OCR, Chinese: Optical Character Recognition) has changed from document-based text with simple typography Recognition turns to document-type text recognition based on complex handwriting. At present, the mainstream text recognition decoders in the industry (such as CTC and Attention) generally can only solve the problem of one-dimensional text or short s...

Claims

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Application Information

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IPC IPC(8): G06V30/19G06V10/774G06V10/764G06V30/24G06V10/82
CPCG06F18/241G06F18/214
Inventor 朱远志王天玮何梦超王永攀
Owner ALIBABA GRP HLDG LTD
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