Abstract

In the article the problem of electronic-printing office work, the documents identification and verification has been reviewed and analyzed. The technical feasibility of using algorithms for handwriting recognition, artificial intelligence and cryptography in electronic-printing office work has been substantiated. Authors are suggest an automated processing method of a paper document verification of its electronic counterpart authenticity. The algorithm of the alternative four-stage life cycle of the document and the method of its verification with the manual operations reduction and machine input are presented in detail. The structure of the integrated subsystem of machine input and documents verification used in the Edinaja informacionnaja sistema «Elektronniy Universitet» of an educational institution is presented. The results of the document automated processing and protection with training a multilayer convolutional neural network using the example of intermediate certification sheets were obtained. The possibility of applying the described methodology to strict reporting of a fixed structure documents with handwritten filling has been proved.

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