Handwritten Text Writer Identification for Personalized File Generation
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Solution Overview
Problem
Existing image forming apparatuses lack the ability to effectively distinguish and manage handwritten text based on the writer, leading to inefficiencies in file generation, storage, and transmission, particularly in identifying and applying appropriate settings, styles, and security levels for individual writers.
Innovation Solution
The apparatus identifies writers through feature analysis of their handwriting, applies specific settings and styles, performs security processing based on writer-specific information, and determines transmission destinations, enabling personalized file management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If handwritten text is scanned and processed as a whole without writer identification, then processing is simple and fast, but file management and security control become inefficient and imprecise
Solution Approach 1:
The patent segments the handwritten text processing by identifying and separating different writers' text within a document. The system divides the text into writer-specific portions based on handwriting feature analysis, allowing individual writer identification and management. This segmentation enables precise writer identification while maintaining manageable system complexity through automated feature extraction and classification.
Solution Approach 2:
The patent introduces an intermediary feature extraction and analysis module that bridges the gap between raw scanned text and writer identification. This intermediary layer processes handwriting features, compares them against stored writer profiles, and generates writer identification results. The intermediary mechanism enables accurate writer distinction without requiring complex direct analysis of the entire document.
2Adaptability or versatility
If uniform file settings are applied to all scanned documents, then processing is simple and quick, but personalized security management and file handling become difficult
Solution Approach 1:
The patent applies local quality by tailoring file settings, security levels, and handling parameters to each identified writer individually. Instead of uniform processing, the system adjusts storage location, access permissions, and file formatting based on the specific writer's characteristics and preferences. This localized customization enables personalized file management while maintaining overall processing efficiency through automated decision-making.
Solution Approach 2:
The patent implements dynamics by making file management parameters adjustable and adaptive rather than fixed. The system dynamically selects storage destinations, security levels, and processing parameters based on real-time writer identification results. This dynamic approach allows the system to adapt to different writers' needs automatically, enhancing personalization without significantly reducing processing speed.
3Reliability
If all handwritten text is processed together without distinction, then processing is straightforward, but security control and data management become imprecise
Solution Approach 1:
The patent segments the security control process by identifying and isolating different writers' text portions. Each writer's text is processed separately for security purposes, allowing targeted access control and data protection. This segmentation enables accurate security management for each writer while the automated process maintains acceptable processing times through parallel handling of multiple writers' text.
Solution Approach 2:
The patent applies preliminary action by pre-establishing writer profiles and security parameters before actual document processing. Writer identification features and security settings are prepared in advance, allowing rapid matching and decision-making during processing. This preliminary preparation enables accurate security control without significant time delay, as the system only needs to compare and match existing profiles rather than create security parameters from scratch.
Data Source
AI summary
An example electronic apparatus includes a user interface device, a communication device, a processor, and a memory to store instructions executable by the processor. The processor is to execute the instructions to obtain an image regarding a document including handwritten text, distinguish a writer who writes the handwritten text based on feature information of the handwritten text that is read from the image, and generate a file regarding the document based on at least one of setting information of the writer or setting information of the handwritten text.