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- W4213230092 abstract "In order to improve the efficiency of image content retrieval, combined with computer vision technology, an intelligent key information detection and recognition system applied to images is proposed. The system is divided into four parts: positioning the text area, detecting key information, recognizing key information and broadcasting voice. Firstly, the image is preprocessed to obtain a clear binary image. Secondly, the dynamic line segmentation algorithm is used to obtain the candidate text areas of the image, and the non-text areas are filtered out with the revelatory rule. Then, the Bayesian classification algorithm is used to discriminate the candidate text region to obtain the key information. Finally, the image of key information is converted into editable text through Optical Character Recognition technology, and the text is converted into speech using text-to-speech conversion technology. The experimental results show that the recognition system of key information is simple and efficient, and the classification accuracy is good, which is suitable for image key information recognition." @default.
- W4213230092 created "2022-02-24" @default.
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- W4213230092 date "2021-11-19" @default.
- W4213230092 modified "2023-10-16" @default.
- W4213230092 title "Research on Key Information Recognition System Based on Bayesian Classification" @default.
- W4213230092 cites W2016019566 @default.
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- W4213230092 doi "https://doi.org/10.1145/3507473.3507484" @default.
- W4213230092 hasPublicationYear "2021" @default.
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