OCR system evaluation method, device, equipment and readable storage medium

A technology for evaluating indicators and storing images, which is applied in the field of optical character recognition, and can solve problems such as difficult to reflect the overall performance of the OCR system

Active Publication Date: 2021-02-26
ONE CONNECT SMART TECH CO LTD SHENZHEN
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AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide an OCR system evaluation method, device, equipment and readable storage medium, aiming to solve the technical problem that the existing OCR system evaluation technology is difficult to reflect the overall performance of the OCR system

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  • OCR system evaluation method, device, equipment and readable storage medium
  • OCR system evaluation method, device, equipment and readable storage medium
  • OCR system evaluation method, device, equipment and readable storage medium

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no. 1 example

[0091] Based on the first embodiment, the second embodiment of the evaluation method of the OCR system of the present invention is proposed, referring to image 3 , in this embodiment, step S10 includes:

[0092] Step S11, input the training image into the first deep learning model, and obtain the corresponding text detection model after training the first deep learning model;

[0093] Step S12, train a second deep learning model based on the character detection model, and obtain the corresponding character recognition model after the training of the second deep learning model is completed.

[0094] In this embodiment, the first deep learning model in the initial OCR system is first trained, the text detection model is obtained after the first deep learning model is completed, and then the text detection model and the second deep learning model are jointly trained. Wherein, the OCR system includes a character detection model and a character recognition model. Specifically, t...

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Abstract

The invention discloses an evaluation method, device, equipment and a readable storage medium of an OCR system. The method includes: acquiring a training image, and inputting the training image into an initial OCR system, so as to train the initial OCR system and obtain a training The corresponding OCR system after the initial OCR system is completed; input the image to be recognized into the OCR system to determine the text recognition result corresponding to the image to be recognized based on the OCR system; determine the OCR based on the text recognition result and the actual label data corresponding to the image to be recognized The text recall rate corresponding to the system and the text recognition accuracy rate corresponding to the OCR system, and the evaluation index of the OCR system is calculated based on the text recall rate and text recognition accuracy rate, so as to evaluate the performance of the OCR system based on the evaluation index. The invention solves the problem in the prior art that character detection and character recognition are evaluated separately and independently, so that the evaluation index cannot objectively reflect the overall performance of the OCR system.

Description

technical field [0001] The invention relates to the technical field of optical character recognition, in particular to an evaluation method, device, equipment and a readable storage medium of an OCR system. Background technique [0002] OCR (Optical Character Recognition) technology can convert the printed text in the image into a text format that can be processed by the computer. The entry and verification in OCR technology are widely used in data comparison and other scenarios, and become the informatization and digitization of various industries in the national economy. critical part of the application. With the continuous development of big data and deep learning technology, OCR technology has made a breakthrough, and OCR technology is widely used in the application of printed document scan recognition. [0003] At present, the evaluation of the recognition accuracy of the OCR system usually includes two links: text detection and text recognition. In the prior art, tex...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/583G06F16/55G06T11/60G06N3/04G06N3/08
CPCG06F16/5846G06F16/55G06T11/60G06N3/08G06N3/045
Inventor 高超徐国强
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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