Artificial test paper judgment processing device and artificial test paper judgment processing method based on OCR

Abstract

The invention provides an artificial test paper judgment processing device and an artificial test paper judgment processing method based on OCR. The processing device comprises a test question import module, a high-speed image acquisition device, a graphic processing and recognition module, an image database, a test paper image and score database retrieval module, and a historical data analysis module. The graphic processing and recognition module comprises a test paper barcode recognition module, a test paper layout analysis and positioning module, an OCR recognition module, a calibration module, and a test paper image fast compression and saving module. According to the invention, image acquisition and storage of artificial test paper judgment and assignment can be completed quickly, test paper barcode information, personal information including handwritten respondent name, class and student number, and handwritten score result in artificial test paper judgment and assignment images can be positioned and recognized quickly and accurately, and effective association with test paper and assignment images is established and saved by compression.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition and artificial intelligence, and in particular relates to an OCR-based automatic collection device for artificially judged test papers and a data statistical processing method. Background technique [0002] OCR-based automatic collection of test papers and data statistical processing technology refers to the use of computers and other equipment to use OCR technology (optical character recognition) to automatically extract the test paper information, personal information of the respondent, test paper evaluation results and other characters and symbols in the manual judgment test paper. And identify, and conduct statistical analysis of the evaluation results, build a database system for evaluation papers. It is one of the key technologies to realize the automatic processing and effective management of manual evaluation test papers. Examination papers and homework exercises are important...

AI Technical Summary

Problems solved by technology

The current method of manually judging test papers and homework exercises mainly adopts the method of manual statistical scoring. The paper test papers and homework exercises after evaluation need to occupy a large storage space. After the long-term accumulation of paper test papers and homework reaches a certain number of years processing by discarding

This approach has obvious deficiencies and is not conducive to effective teaching management. In summary, it is mainly manifested in the following aspects:

[0003] 1. The statistical scoring process is time-consuming and laborious, and the statistical results are prone to errors

Using artificial statistics, a large number of test papers and homework exercises, especially daily homework exercises for multiple subjects, the scoring process requires a lot of manpower, which is not conducive to improving the efficiency of teaching management

In addition, manual statistics are prone to errors

[0004] 2. It is difficult to carry out effective data storage and management

The judged paper test papers and homework exercises are stored in paper form by students or teachers. A large number of long-term test papers and homework are not conducive to management and are usually discarded

During the teaching process, it is usually desired to look up previous test papers or homework, the current processing method is difficult to meet this demand, and the search efficiency is also very low

[0005] 3. Unable to realize effective data statistics and analysis

Making answer sheets requires extra cost, and the method of filling in and answering questions is not natural enough

[0009] In view of the above deficiencies, as well as the needs of teaching units to further improve the efficiency of teaching and learning, there is no computer automatic processing system that can better meet the needs of manual evaluation of test papers and automatic scoring of homework, as well as data statistics and analysis. with device

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