Text positioning method and system based on visual structure attribute

Abstract

The invention belongs to the technical field of image recognition, and particularly relates to a text positioning method and system based on the visual structure attribute. Based on the visual attribute of a text, by means of color polarity difference transformation and edge neighborhood tail end bonding, abundant closed edges are detected so that abundant candidate connection elements can be obtained, then character stroke attributive character and text colony attributive character screening is conducted, the connection elements belonging to characters are extracted from the candidate connection elements, and then the final text is positioned through multi-channel blending and repeated connection element removal. The method is high in robustness and can be adapted to the situation that multiple word language categories are mixed, or various font styles exist, or arrangement directions are random, or background interference exists and other situations, the positioned text can be directly provided for OCR software for recognition, and OCR software recognition rate can be increased. The text positioning method and system based on the visual structure attribute can be applied to image video retrieval, junk information blocking, vision assisted navigation, street view positioning, industrial equipment automation and other fields.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a text positioning method and system based on visual structure attributes. Background technique [0002] The semantic information contained in the text in images and videos is an important clue to understand the content of images and videos, and can be widely used in many fields such as image and video retrieval, auxiliary visual navigation, and industrial equipment automation. However, the OCR (Optical Character Recognition, Optical Character Recognition) recognition rate of text in complex backgrounds is not high, and a general and efficient text region location and text segmentation method is still a technical problem that needs to be solved urgently. [0003] For text images in complex backgrounds, the text must be positioned, text segmented, and perspective corrected before OCR recognition, in order to better complete the extraction of text information....

AI Technical Summary

Problems solved by technology

The advantage of the edge-based method is that the time complexity is low, which can meet the needs of real-time applications, and is less affected by the text color, but the false detection rate will increase when the background texture is complex, for example, there are some regular arrangements in the background. Objects are easily misdetected as text areas

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