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System and method for high concurrent ticket identification based on deep learning

A deep learning and recognition system technology, applied in the field of high concurrent bill recognition system, can solve the problems of lack of high compatibility, limited recognition rate, high concurrency of recognition interface and poor operability, etc., to achieve high concurrency and high recognition rate , high compatibility effect

Inactive Publication Date: 2017-12-15
SICHUAN CHANGHONG ELECTRIC CO LTD
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Problems solved by technology

Beijing Wentong Technology Co., Ltd., ABBYY, Xiamen Yunmai Technology Co., Ltd., Shanghai Hehe Technology Co., Ltd., Hanwang, Tsinghua Unigroup and other companies have their own bill recognition systems, but the traditional recognition systems are not highly compatible with different bills ( Different recognition frameworks for different bills, different recognition interfaces) and high concurrency (batch upload and parallel processing), relatively poor operability (configure templates in advance), and limited recognition rate

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  • System and method for high concurrent ticket identification based on deep learning
  • System and method for high concurrent ticket identification based on deep learning
  • System and method for high concurrent ticket identification based on deep learning

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Embodiment Construction

[0042] The present invention will be further described in detail below in conjunction with examples, but the implementation of the present invention is not limited thereto.

[0043] The invention provides a high-concurrency bill recognition system based on deep learning, which exposes a unified bill recognition interface for the client to upload the bill to be recognized; for the high concurrent access of different peripheral clients, Nginx acts as a load balancer and automatically Distribute the picture to different HTTP SERVERs. When the HTTP SERVER receives the picture, it will write the picture to the queue server; different GPU ticket recognition servers continuously read the picture from the queue server, and the concurrent computation of GPU The ticket recognition deep learning framework writes the result of the ticket recognition to the queue server; the client reads the result of the ticket recognition through the input order_nuber, and the task will be distributed to dif...

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Abstract

The present invention discloses a system and a method for high concurrent ticket identification based on deep learning. According to the invention, a unified API interface and a ticket classification system are combined so that the system has high compatibility with any ticket input. The combination of an Nginx load balancing server, an HTTP SERVER cluster, a queue server and a GPU ticket identification cluster makes the ticket recognition system high concurrent. The combination of a template adaptation and sequence location system and word identification system of deep learning makes the ticket recognition system easy to operate. The combination of the ticket classification system, the template adaptation and sequence location system, the word identification system of deep learning, the ticket field matching semantic analysis system, the ticket subclass extraction semantic analysis system and the service field content correction semantic analysis system makes the ticket identification system have a high identification rate. Compared with the traditional ticket identification system, the system and the method of the invention have the advantages of good compatibility, high concurrency, easy operability and high identification rate.

Description

Technical field [0001] The invention relates to the technical field of financial electronics, in particular to a system and method for identifying highly concurrent bills based on deep learning. Background technique [0002] In recent years, with the rapid development of my country's economy, the types and quantities of bills have been increasing year by year. The financial system processes these large amounts of bills manually, which not only consumes a lot of manpower and material resources, but also has low work efficiency. Therefore, the automatic processing of bills has great practical value for a single repetitive work. However, if the system has a low recognition rate of effective content in bills, it will not only bring business risks, but also increase the workload of subsequent manual processing. Therefore, the automatic bill recognition system needs to have high recognition rate, anti-interference and real-time performance, to ensure the reliability of its recognition...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06F17/27G06N3/08H04L29/08
CPCH04L67/1004G06N3/08G06F40/30G06V30/153G06V30/10
Inventor 牛小明刘东唐军池明辉田标肖欣庭孙永强蒲文龙李雁
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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