Certificate increase and decrease category detection method and device, readable storage medium and terminal

Abstract

The invention provides a certificate increase and decrease type detection method and device, a readable storage medium and a terminal. The method comprises steps of standard pictures of various types of certificates being stored in a memory to serve as registered pictures; secondly, detecting a to-be-detected certificate to obtain an input picture, and performing image processing on the to-be-input picture; and finally, comparing the processed picture with the registered picture, and determining the category to which the detection picture belongs through the similarity so as to quickly and efficiently screen the newly added certificates to determine the category. The method is advantaged in that the detection scheme can improve the judgment accuracy and efficiency of the newly added certificate category in a complex shooting scene, and can be widely applied to the fields of security, finance and the like.

Description

technical field [0001] The invention relates to the technical field of information detection or intelligent vision, and in particular to a method, device, readable storage medium and terminal for detecting the increase or decrease of certificate types. Background technique [0002] For document image recognition, it is necessary to quickly and efficiently identify identity information in the fields of security, finance, and enterprise information management. Most of the early ID card information needs to be entered manually, which is very inefficient, and the long-term identification process will also make people's eyes tired, so manual entry is no longer suitable for the current situation of rapid development in today's computer and other fields. [0003] With the rise of artificial intelligence, image recognition technology is gradually applied to security, military, medical, intelligent transportation and other fields, and technologies such as face recognition and fingerp...

AI Technical Summary

Problems solved by technology

This method is currently a popular character detection method, but for the document number detection task, this method has the following defects: (1) Non-document area images also participate in the network reasoning process, which wastes computing resources on the one hand, and on the other hand, for non-document Misdetection of character presence in the region requires additional processing logic to eliminate; (2) The calculation resource consumption of this scheme is relatively large, and the training and reasoning time is longer than this proposal; (3) Due to the uninterpretable behavior of the neural network, this method The frame of the positioned character area cannot accurately locate the smallest circumscribed rectangular frame of the character, and even part of the character area will be cut off. That is, the traditional document image optical recognition (OCR) technology is mainly for high-definition scanned images. This method requires the recognized image to have a clean background, use standard typography and have high resolution

However, in natural scenes, there are problems such as large text background noise, irregular text distribution, and the influence of natural light sources. The detection rate of OCR technology in actual natural scenes is not ideal, and the recognition of documents such as documents will bring pressure to character recognition in subsequent steps.

[0006] In addition, although AI technology has been applied in all walks of life and can meet the needs of some actual application scenarios, as the targets to be detected or identified, such as customer detection targets in the banking industry, are added or deleted from time to time, detection When the target increases, it is often necessary to complete sample collection, labeling, model training, deployment, etc., and the optimization process takes a long time and is inefficient

[0007] Based on the above situation, in the intelligent detection of documents (including ID cards, bank cards, work permits, etc.)

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