Character image recognition method and device based on global semantics and computer equipment
A technology of image recognition and text, applied in the field of artificial intelligence technology and image recognition, can solve the problem of high error rate of text recognition, achieve accurate text recognition and improve recognition accuracy
Pending Publication Date: 2022-05-06
PING AN TECH (SHENZHEN) CO LTD
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[0003] The purpose of the embodiment of the present application is to propose a text image recognition method, device, computer equipment and storage medium based on global semantics to solve the problem of high error rate in text recognition
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[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the application; the terms used herein in the description of the application are only to describe specific embodiments The purpose is not to limit the present application; the terms "comprising" and "having" and any variations thereof in the specification and claims of the present application and the description of the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.
[0029] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrenc...
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The embodiment of the invention belongs to the field of artificial intelligence and smart cities, is applied to the field of characters, and relates to a character image recognition method and device based on global semantics, computer equipment and a storage medium, and the method comprises the steps: obtaining a to-be-recognized character image; performing visual feature extraction on the to-be-recognized character image through a visual part of a visual feature extraction model, and performing time sequence information extraction on the extracted visual features through a time sequence part of the visual feature extraction model to obtain a visual feature matrix of the to-be-recognized character image; performing global semantic extraction on the visual feature matrix to obtain global semantic features of the to-be-recognized character image; and by taking the global semantic features as state parameters, performing feature decoding on the visual feature matrix through an attention mechanism to obtain a recognition text of the to-be-recognized character image. The invention further relates to a block chain technology, and the to-be-recognized character image and the recognition text can be stored in the block chain. According to the invention, the text recognition accuracy of low-quality images can be improved.
Description
technical field [0001] The present application relates to the technical field of artificial intelligence and the field of image recognition, and in particular to a text image recognition method, device, computer equipment and storage medium based on global semantics. Background technique [0002] With the development of artificial intelligence, image recognition technology has been implemented in various fields. Among them, character recognition technology (OCR) is a technology for extracting text content from images, which is widely used in daily production and life, such as in images. Carry out license plate number recognition, text form recognition, customer information recognition, etc. However, in some occasions, due to the difficulty in guaranteeing the image quality of text images, there may be low-quality images such as image defects, blurred images, uneven illumination, blocked text, and near-shaped characters. The image has the problem of difficult recognition, re...
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IPC IPC(8): G06V30/40G06V30/10G06V30/18G06V10/82G06N3/04
CPCG06N3/045
Inventor 陈昊
Owner PING AN TECH (SHENZHEN) CO LTD