Method for identifying train ticket by using deep learning technology
A deep learning, train ticket technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as time-consuming, achieve the effect of improving service level, avoiding fake tickets, and improving passenger flow throughput
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[0034] This embodiment proposes a method for identifying train tickets using deep learning technology, combined with the attached figure 1 , the implementation process of this method includes:
[0035] S1, collecting images with real train tickets;
[0036] S2. Using the format of the VOC data set as a standard, mark all the train tickets in the image collected in the S1 stage and generate an XML file;
[0037] S3. Using computer vision technology, preprocessing and data augmentation are performed on the images collected in the S1 stage, and at the same time, corresponding transformations are made to the marked files;
[0038] S4. Divide all the images marked in the S2 stage into a training set, a verification set, and a test set;
[0039] S5, based on the Keras open source framework, with Faster-RCNN as the technical core, build a deep learning neural network;
[0040] S6. Send the augmented data obtained in the S3 stage to the deep learning neural network built in the S5 ...
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