Image-Reading Device Automatic Region Setting for Character Recognition
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Solution Overview
Problem
Conventional image-reading devices face challenges in accurately detecting multi-feed errors and efficiently recognizing page numbers, especially when handling non-sequentially arranged pages or multiple pages with the same number, due to the need for manual region setting and lack of detailed character recognition conditions.
Innovation Solution
An image-reading device with a reading unit, displaying unit, and character recognizing unit that automatically sets and adjusts recognition target regions, performs character recognition, and detects page reading errors by analyzing image data, reducing user burden and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual region setting is required for character recognition, then recognition accuracy can be improved, but user operation complexity and time consumption increase
Solution Approach 1:
The system automatically detects page numbers and sets recognition regions without requiring manual user input. The page number detection unit identifies page number locations and the recognition region setting unit automatically defines the recognition area based on this detection, enabling the system to serve itself rather than requiring extensive manual configuration from the user.
Solution Approach 2:
The system performs preliminary detection of page numbers and automatic setting of recognition regions before the actual character recognition process. By pre-identifying where page numbers are located and pre-defining the recognition areas, the system prepares everything needed for accurate recognition without requiring users to manually specify regions in advance.
2Ease of operation
If region setting is simplified, then ease of operation improves, but character recognition accuracy may deteriorate
Solution Approach 1:
The system uses feedback from page number detection to automatically adjust and refine recognition region settings. The page number detection unit provides information about actual page number locations, and the recognition region setting unit uses this feedback to automatically define appropriate recognition areas, ensuring both ease of operation and maintained accuracy through continuous adjustment based on detected characteristics.
3Reliability
If multi-feed error detection is added, then reliability improves, but device complexity increases
Solution Approach 1:
The page number detection unit serves multiple functions: it detects page numbers for recognition, identifies page number locations for region setting, and provides data for multi-feed error detection. By making this single unit multi-functional, the system achieves reliable error detection without proportionally increasing overall device complexity, as the same detection infrastructure serves multiple purposes.
4Ease of operation
If automatic region setting is implemented, then ease of operation improves, but adaptability to different document layouts may deteriorate
Solution Approach 1:
The recognition region setting unit dynamically adjusts recognition regions based on the actual page number detection results. Rather than using fixed or pre-programmed regions, the system adapts the recognition areas in real-time according to where page numbers are actually detected in the document, enabling automatic region setting while maintaining high adaptability to various document layouts and formats.
Data Source
AI summary
An image-reading device includes a reading unit, a displaying unit, a recognition target region setting unit, a recognition target region adding unit, and a character recognizing unit. The recognition target region setting unit sets a recognition target region within the displayed image data to recognize characters. The recognition target region adding unit adds a new recognition target region based on the recognition target region set by the recognition target region setting unit. The character recognizing unit performs character recognition in the recognition target regions.


