Automated Examination Paper Scoring via Image Region Detection
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Solution Overview
Problem
Current systems for recognizing entry remarks on examination papers require manual specification of character recognition locations, increasing the workload for users such as teaching staff, as they need to pre-define the location for scoring each question, which is inefficient.
Innovation Solution
An information processing apparatus and method that automatically detects the regions of question-answer pairs and partial scores on examination papers using image processing, without pre-specifying the recognition locations, allowing for automated association and aggregation of scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the location of character recognition is specified in advance for each question, then the character recognition can be performed at the specified location to determine the score of each question, but the workload of the user increases
Solution Approach 1:
The system performs self-service by automatically detecting the location of entry remarks on the original document without requiring user specification. The character recognition unit autonomously identifies and processes scores at their actual positions on examination papers, eliminating the need for users to pre-define recognition locations for each question.
2Measurement precision
If the location of character recognition is specified on a per entry item basis, then the score of each question can be determined accurately, but the time required for processing increases
Solution Approach 1:
The system performs preliminary action by automatically detecting and storing the locations of entry remarks before character recognition is performed. The position information is extracted in advance, allowing the character recognition unit to efficiently process scores without time-consuming manual location specification for each question.
3Measurement precision
If manual specification of recognition locations is required, then character recognition can be performed precisely, but the complexity of the operation increases
Solution Approach 1:
The system replaces the mechanical process of manual location specification with an automated image processing and character recognition system. The position information extraction unit automatically detects entry remark locations using image processing techniques, substituting manual operational complexity with automated computational processes that maintain precision without increasing operational burden.
Data Source
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AI summary
An information processing apparatus includes an acquisition unit that acquires image information of an image of an original document, a recognition unit that recognizes from the image information acquired by the acquisition unit each of plural entry items and an entry remark written differently from the plural entry items, included in the image, and an associating unit that associates the entry remark with one of the entry items in accordance with a relationship between a location of the entry items recognized by the recognition unit and a location of the entry remark.