Scene text identification method based on Bayesian probability frame

Abstract

The invention discloses a scene text identification method based on a Bayesian probability frame, and relates to vision and mode identification of a computer. The scene text identification method based on the Bayesian probability frame comprises the steps that S1, scene image text is input; S2, character detection and recognition are carried out; S3, a detection-identification candidate grid is built, particularly, a candidate character area, a corresponding character class and a corresponding identification score are stored in the detection-identification candidate grid, each detection-identification route in the detection-identification candidate grid corresponds one text detection and identification result, and a route evaluation function is designed to evaluate each detection-identification route in the candidate grid; S4, the best detection-identification route is searched for from the candidate grid through a dynamic planning algorithm, that is to say, the identification result is obtained; S5, the text identification result is output. The scene text identification method based on the Bayesian probability frame achieves probability modeling and parameter learning of scene text identification integrating detection and identification.

Description

technical field [0001] The invention relates to computer vision and pattern recognition, in particular to a scene text recognition method based on a Bayesian probability framework. Background technique [0002] Text in natural scene images contains rich high-level semantic information, which plays an important role in image scene understanding, analysis and processing. Scene text recognition technology can be widely used in image and video understanding, storage and retrieval, vehicle license plate recognition, bank bill processing, road sign recognition and mobile guide blind, so it has become a research hotspot in the field of computer vision and pattern recognition. Due to the complex background of the scene image, the size, font, and color of the scene text are different, and they are easily affected by illumination changes and image degradation, which makes the recognition of scene text more challenging. [0003] Traditional optical character recognition (OCR) technolo...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a scene text recognition method based on a Bayesian probability framework for the current scene text recognition method without a unified probability model.

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