Invoice batch automatic identification system based on deep learning

Abstract

The invention discloses an invoice batch automatic identification system based on deep learning, and the system comprises an invoice image obtaining module which is used for obtaining an invoice scanning image, carrying out the format conversion of the invoice scanning image, and obtaining and storing an invoice image; then, subjecting the invoice image to straightening processing and normalization processing; using the preprocessing and positioning module for performing inclination correction and digital area positioning on the normalized invoice image; The character cutting module is used for cutting the characters in the digital area to obtain a cut character image; using The character recognition module for carrying out character recognition on the segmented character image through a CNN convolutional neural network; and using the output module for recording the recognized characters to the corresponding positions of the Excel table and carrying out accuracy judgment and manual correction on the characters. According to the invention, the identification of the main information on the invoice can be rapidly and efficiently completed, and the problems of low speed, low efficiencyand high error rate caused by the fact that the invoice can only be managed manually in the past are overcome.

Description

technical field [0001] The invention relates to the field of information technology, in particular to an invoice batch automatic identification system based on deep learning. Background technique [0002] The invoice is a kind of credential that is often used in daily life, such as commercial organizations, government agencies, medical institutions, public security agencies, etc., all need to issue a large number of invoices. Nowadays, with the rapid development of Internet technology and the popularization of online payment, corresponding electronic invoices also appeared. However, electronic invoices still have some disadvantages. For example, the paper quality and printing effect of electronic invoices printed by consumers are different, which may easily lead to anti-counterfeiting. The performance disappears, or the risk of repeated reimbursement increases because electronic invoices can be printed repeatedly, so traditional paper invoices are still widely used at presen...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a deep learning-based invoice batch automatic recognition system to solve the problems of slow speed, low efficiency, and high error rate

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