Convolutional neural network-based credit file identification method
A convolutional neural network and recognition method technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as the recognition of handwritten signatures that cannot be used by customers, and the lack of legal validity of documents, so as to improve the accuracy rate, recognition The effect of convenient credit file, improved robustness and generalization ability
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[0048] Embodiment Credit file identification method based on convolutional neural network
[0049] A credit file identification method based on convolutional neural network, the credit file identification flow chart is as follows figure 1 As shown, the training flow chart of its convolutional neural network model is as follows figure 2As shown, it specifically includes the following steps:
[0050] S1. After the collected credit file image is geometrically corrected by calling the affine transformation method in the opencv function library, it is then expanded by image enhancement technology. The schematic diagram of image expansion is as follows image 3 As shown, the self-made data set is obtained. The self-made data set includes 10 types of credit files, namely organization code certificate, tax registration certificate, business license, project approval documents, credit analysis report, loan application form, loan contract, financial statement, and low-voltage guarante...
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