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《Computer Knowledge and Technology》 2017-33
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Text Recognition of Natural Scene Image Based on MSER and Tesseract

JIANG Hong-yi;ZHU Li-ping;OU Zhang-peng;College of Mathematics, Physics and Information Engineering, Jiaxing University;  
Aiming at the problem that the traditional OCR technology has low text recognition rate of natural scene image, the automatic text recognition system of natural scene image is designed and realized. The system mainly uses the improved MSER scene text localization algorithm, using Tesseract to train the image text samples, and then recognize the text of scene image, and realize the function in the MFC environment. The experimental results show that the trained Tesseract library has a significant improvement for the text recognition of natural scene image.
【Fund】: 浙江省大学生科技创新活动计划暨新苗人才计划项目(No.2017R417032)
【CateGory Index】: TP391.41
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