Handwritten Form Input via Designation Position Detection
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Solution Overview
Problem
Existing information processing systems cannot handle inputting information into forms generated by handwriting without pre-registering the information, as they require advance registration for input fields, limiting their ability to process handwritten form images.
Innovation Solution
An information processing apparatus with a display section, instruction section, detecting section, and input section that allows operators to input information by detecting designation positions on a displayed image and inputting corresponding information within determined regions, enabling input without prior registration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If information is input by designating input fields in pre-registered forms, then input accuracy is improved, but adaptability to handwritten forms deteriorates
Solution Approach 1:
The system captures an image of the handwritten form and creates a digital copy that can be processed. The camera or image scanner creates a visual replica of the physical form, allowing the system to work with handwritten content without requiring pre-registration of specific form layouts or fields.
Solution Approach 2:
The system replaces manual field-by-field input methods with automated image recognition technology. Instead of requiring users to manually input data into pre-defined fields, the system uses optical character recognition and image processing to automatically extract and input information from the handwritten form image.
2Reliability
If pre-registration of form information is required, then input reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically recognizing and extracting information from the handwritten form image without requiring pre-registration databases. The image recognition system independently identifies form fields and extracts data, eliminating the need for users to manually pre-register form structures while maintaining reliable data capture.
Solution Approach 2:
The system performs preliminary image capture and processing before actual data extraction. By pre-processing the form image to enhance readability and identify field locations, the system ensures reliable input without requiring pre-registration of form templates, as the preliminary image analysis adapts to any handwritten form structure.
3Adaptability or versatility
If manual input methods are used for handwritten forms, then flexibility is improved, but productivity deteriorates
Solution Approach 1:
The system replaces manual typing and data entry operations with automated image recognition and data extraction. The optical character recognition technology automatically converts handwritten text in the form image into digital data, dramatically increasing productivity while maintaining the flexibility to handle various handwritten form formats without manual intervention.
Solution Approach 2:
The system creates a digital copy of the handwritten form and processes it through automated recognition algorithms. This copying approach allows the system to maintain flexibility in handling different handwritten formats while achieving high productivity through automated processing, eliminating the need for manual data transcription.
Data Source
AI summary
An information processing apparatus includes: a display section that displays an image; an instruction section that instructs an operator on information to be input; a detecting section that detects a designation position on the display section on which the image is displayed; and an input section that inputs input information corresponding to the information to be input instructed by the instruction section, in a region determined by a designation start position and a designation end position in the image.