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An intelligent paper marking positioning method based on deep learning

A technology of deep learning and positioning method, applied in instruments, character and pattern recognition, computer parts and other directions, can solve the problem that the OCR text recognition system cannot automatically identify regions by region, and achieve high accuracy. Effects of Sex and Robustness

Inactive Publication Date: 2019-06-28
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an intelligent marking and positioning method based on deep learning, which solves the problem that the OCR character recognition system cannot automatically identify different regions

Method used

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  • An intelligent paper marking positioning method based on deep learning
  • An intelligent paper marking positioning method based on deep learning
  • An intelligent paper marking positioning method based on deep learning

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Embodiment Construction

[0036] The present invention will be further described below. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0037] The present invention is realized on the python platform, see figure 1 , mainly including the following steps:

[0038] Step 1: Create a dataset

[0039] The invention proposes an intelligent marking and positioning method based on deep learning, which adopts a supervised learning method. The development of deep learning in all walks of life is inseparable from the development of data sets, so establishing a good data set provides a good prerequisite for deep learning. In order to better train the deep learning network, the present invention takes the positioning of oral arithmetic problems as an example, and creates a small data set of oral arithmetic problems. The specific creation process is as follows:

[0040] 11) Take pict...

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Abstract

The invention discloses an intelligent scoring positioning method based on deep learning, which takes the positioning of oral calculation questions as an example, and comprises the following steps: shooting a plurality of oral calculation question pictures by using a mobile phone, and dividing the pictures into a training set and a test set; Utilizing a labelImg marking tool, and marking the position of a mouth calculation question on each picture in the training set by using Bouncing Box; Generating an xml file, and converting the xml file into a txt file; modifying YOLOv3 algorithm, adding the category of the oral calculation question of the pupil in the classification, and training the data set; After training is completed, saving the weight, testing the pictures in the test set, obtaining the Bounding Box of each oral calculation question in each picture through regression, and the oral calculation questions of the pupils are positioned. According to the invention, the positioningfunction of the plurality of calculation questions in the picture can be realized, and the accuracy of the test result is relatively high, so that the workload of manual paper inspection can be reduced.

Description

technical field [0001] The invention relates to an intelligent marking and positioning method based on deep learning, which belongs to the technical field of computer vision image processing. Background technique [0002] With the continuous development of information technology, educational information technology has also made proud progress. For teachers, correcting a large number of test papers is extremely tedious and time-consuming work, and it may not be possible to ensure that the corrections are completely correct. With the wide application of artificial intelligence in all walks of life, artificial intelligence can help teachers correct test papers, thereby reducing the burden on teachers. Work load, but also to ensure the accuracy of marking. At present, the recognition of pictures in the field of computer vision usually uses the OCR text recognition system, but OCR cannot accurately identify the pictures in different regions. When there is a large amount of text...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/62
Inventor 桂冠邵蕾李懋阳刘超熊健杨洁孙颖异孟洋
Owner NANJING UNIV OF POSTS & TELECOMM
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