Image recognition method and device and computing equipment

Abstract

The embodiment of the invention provides an image recognition method and device and computing equipment. The method comprises the steps: acquiring a to-be-processed first image; inputting the first image into an optical character recognition network, and obtaining character information in the first image, wherein the optical character recognition network is trained in an auxiliary mode through a semantic segmentation network, and the semantic segmentation network is used for predicting position information of characters in the image; and sharing the features extracted by the intermediate layer of the optical character recognition network with the optical character recognition network. According to the invention, the semantic segmentation network assists in training the optical character recognition network, so that the optical character recognition network automatically notices the character region in the first image, thereby reducing the prediction difficulty of the optical character recognition network, improving the precision of the optical character recognition network, and realizing the accurate recognition of a complex scene, such as seriously bent, rotated and vertical characters.

Description

technical field [0001] The embodiments of the present application relate to the technical field of image processing, and in particular, to an image recognition method, device, and computing device. Background technique [0002] With the development of deep learning, target recognition technology has become more and more mature. For example, Optical Character Recognition (OCR) is a method of analyzing and recognizing images to obtain text and layout information in images. [0003] However, in some scenarios, such as restaurant signs, product labels, company logos, etc., the shape of the text will be complex and distorted, such as the text is severely bent, rotated, vertical, etc. In these scenarios, the current object recognition technology cannot Accurately recognize text in images. Contents of the invention [0004] Embodiments of the present application provide an image recognition method, device, and computing device for realizing accurate recognition of characters in ...

AI Technical Summary

Problems solved by technology

[0003] However, in some scenarios, such as restaurant signs, product labels, company logos, etc., the shape of the text will be complex and distorted, such as the text is severely bent, rotated, vertical, etc. In these scenarios, the current object recognition technology cannot Accurately recognize text in images

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