An Adaptive Answer Sheet Sequence Correction Method
An answer sheet, self-adaptive technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as low efficiency of manual matching and inability to guarantee accuracy
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[0172] The sequence of student answer sheets (A1, A2, A3, A4,...A32), (B1, B2, B3, B4,,,,,,,B32) obtained by scanning, the sequence of each processing in this embodiment The number is 32, where A represents the data on the A side of the answer sheet, B represents the data on the B side of the answer sheet, and there is a mismatch between the A and B sides in the original sequence.
[0173] Input the first pair of AB images A1 and B1 of the original answer sheet sequence into the yolov3-based model respectively, and obtain several image blocks (x1, y1, z1,.... ) and (x2,y2,z2,...). The corresponding image blocks form a data pair (x1, x2)(y1, y2)....... For each pair of data pairs (x1, x2), input it into the Siamese-based handwriting matching model In the feature extraction network Gw(), the corresponding low-dimensional feature vectors Gw(x1) and Gw(x2) are extracted, and then the Euclidean distance E between the two low-dimensional feature vectors is calculated according to t...
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