Research on the application of OCR technology based on neural network in automatic marking system
In order to improve the accuracy and efficiency of school marking,OCR technology is used to scan test papers and identify candidates'response text.In view of the shortcomings of traditional OCR technology,neural network technology in artifi-cial intelligence is used to improve OCR technology and target OCR text detection and text recognition.In two major steps,the CTPN model is used for text detection,and the CNN,Seq2Seq,and Attention models are used for text recognition,which greatly im-proves the accuracy and efficiency of recognition and provides support for the next step of automatic marking.
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