Test paper head student information automatic detection method based on deep learning
The invention discloses a test paper head student information automatic detection method based on deep learning, and the method comprises the following steps: S1, performing data acquisition: scanning the front surfaces of a plurality of pieces of student test paper through a scanner, and obtaining...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a test paper head student information automatic detection method based on deep learning, and the method comprises the following steps: S1, performing data acquisition: scanning the front surfaces of a plurality of pieces of student test paper through a scanner, and obtaining a plurality of test paper full images; s2, labeling data: performing manual labeling on the test paper head image to obtain a detection frame of student information, and dividing the detection frame into a training set and a test set; s3, expanding the data volume through the synthesized data; s4, constructing a text detector, to be more specifically, a convolutional neural network is used for constructing the text detector, the text detector comprises a feature extraction network, a candidate text region generation network, a region feature sampling module and a text positioning network, and different loss functions are designed for the composition networks; s5, training a text detector; and S6, testing: inputting |
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