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Certificate classification method and device and computer readable storage medium

A classification method and storage medium technology, applied in the field of document classification and computer-readable storage media, can solve problems such as reduced document identification efficiency

Pending Publication Date: 2020-03-27
深圳市碧海扬帆科技有限公司
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Problems solved by technology

[0007] The main purpose of the present invention is to provide a certificate classification method, device and computer-readable storage medium, aiming to solve the technical problem of reduced certificate recognition efficiency caused by certain technical defects in the existing certificate classification

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  • Certificate classification method and device and computer readable storage medium
  • Certificate classification method and device and computer readable storage medium
  • Certificate classification method and device and computer readable storage medium

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Embodiment Construction

[0033] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] The main solution of the embodiment of the present invention is: when the placement operation of the target certificate is detected, the certificate identifier extraction position is determined according to the certificate size of the target certificate, and the certificate identifier extraction location may include one or more; based on the The document identification extracting position extracts the document identification, and confirms the valid document identification; and determines the document type according to the valid document identification corresponding to the document identification extraction position.

[0035] Due to certain technical defects in the existing document classification, the technical problem is that the efficiency of document identification is reduced.

[0036] The present invention ...

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Abstract

The invention discloses a certificate classification method, which comprises the following steps: when the placement operation of a target certificate is detected, according to the certificate size ofthe target certificate, determining one or more certificate identifier extraction positions; extracting a certificate identifier based on the certificate identifier extraction position, and confirming a valid certificate identifier; and determining the certificate type according to the certificate identifier extraction position corresponding to the effective certificate identifier. The inventionfurther discloses a certificate classification device and a computer readable storage medium. Through a new certificate classification method, a certificate classification step is set to determine a current certificate type; related certificate type information can be added / modified based on certificate parameters of certificates in application; a large amount of numerical support is not needed; the certificate classification method is low in maintenance cost and small in occupied CPU during running; no specified running equipment is needed; popularization is facilitated; and the beneficial effect of improving certificate recognition efficiency is achieved.

Description

technical field [0001] The present invention relates to the technical field of certificate identification, in particular to a certificate classification method, device and computer-readable storage medium. Background technique [0002] At present, there is no special document classification algorithm on the market, but the current mature image recognition technology can complete the document classification. Its main principle is to input a large amount of data into the designed neural network for training to obtain a model that can complete the classification work. This approach has 3 flaws: [0003] First, a large amount of data is required (at least tens of thousands of images of various types of documents), but it is a hassle to obtain these data, not to mention the need to label a large amount of data. [0004] Second, the process of neural network prediction runs very slowly on traditional CPUs, and the CPU performance on the client machine is not particularly powerfu...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/62
CPCG06V10/255G06F18/24
Inventor 查康宁王璞玺吴韬
Owner 深圳市碧海扬帆科技有限公司
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