Character sequence recognition method and device based on computer vision, equipment and medium

Abstract

The invention relates to a character sequence recognition method and device based on computer vision, computer equipment and a storage medium. The method comprises the steps of obtaining an image carrying a to-be-recognized character sequence; based on a pre-constructed position detection model, obtaining a target area image where the to-be-identified character sequence is located in the image; performing horizontal correction on the target area image to obtain a horizontal target area image; obtaining a character sequence standing state of the horizontal target area image based on a pre-constructed angle judgment model; and if the character sequence standing state is an upright state, inputting the horizontal target area image into a pre-constructed content identification model, and obtaining character sequence content corresponding to the to-be-identified character sequence. By the adoption of the method, horizontal correction can be conducted on the target area image, self-adaptiveprocessing of image shooting angle changes in an industrial scene is achieved, and therefore the character sequence recognition accuracy is improved.

Description

technical field [0001] The present application relates to the technical field of computer vision, in particular to a computer vision-based character sequence recognition method, device, computer equipment and storage medium. Background technique [0002] With the development of computer vision technology, the recognition of character sequences has become a part of practical applications in life, such as the recognition of character sequences such as product serial numbers, production dates, and stamped inscriptions in industrial scenarios. Generally speaking, the process of recognizing a character sequence is to first detect the position of the character sequence, then cut the character sequence at the detected position, and finally judge and recognize the angle of the cropped character sequence image to obtain the corresponding Text content; or by using the character sequence as a special target detection, through the classifier detection and based on the model of the image...

AI Technical Summary

Problems solved by technology

[0003] However, the current character sequence recognition methods are all based on low-dimensional manual features, and lack the ability to adaptively process changes in image shooting angles in industrial scenes. Therefore, the current character sequence recognition methods have low recognition accuracy for character sequences.

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