Coupled spatial learning-based scene character recognition method

Abstract

The embodiments of the invention disclose a coupled spatial learning-based scene character recognition method. The method includes the following steps that: inputted scene character images are preprocessed, so that trained scene character images are obtained; recognition feature extraction is performed on the trained scene character images, so that a spatial dictionary can be obtained; the spatial dictionary is utilized to perform spatial coding on the recognition features of corresponding images, so that corresponding spatial coding vectors can be obtained; maximization extraction is performed on the spatial coding vectors, so that feature vectors can be obtained; a linear support vector machine is utilized to perform training based on the feature vectors, so that a scene character recognition classification model is obtained; and the feature vectors of a test scene character image is obtained and is inputted into the scene character recognition classification model, so that a scene character recognition result can be obtained. According to the coupled spatial learning-based scene character recognition method of the invention, the spatial dictionary is crated and is utilized to perform spatial coding, and therefore, the textual information of a space can be effectively integrated into the feature vectors, so that spatial information can be effectively mined, and therefore, the correct rate of scene character recognition can be improved.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to a scene character recognition method based on coupling space learning. Background technique [0002] Scene text recognition plays an important role in the field of pattern recognition, and it can be directly applied to image retrieval, intelligent transportation, human-computer interaction and other fields. In practical applications, scene text recognition is a very challenging research direction, because scene text will be affected by external factors such as uneven lighting, distortion, and complex background. [0003] Scene text recognition has been widely studied in recent decades, and some early methods use optical character recognition technology for scene text recognition. However, optical character recognition technology has great limitations, such as the binarization operation of scene text images. In recent years, a large number of scene text r...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the technical problem that the spatial context information has a great influence on the scene text recognition results. For this reason, the present invention provides a scene text recognition method based on coupled space learning

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