Handwriting Queue Recognition for Continuous Text Conversion
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Solution Overview
Problem
Existing methods for OCR recognition and handwriting replacement on electronic whiteboards require manual user intervention, disrupting writing continuity.
Innovation Solution
A method where user handwriting is stored in a queue and processed in intervals to automatically recognize and replace text without manual selection, ensuring continuous writing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of recognized text is required, then recognition accuracy can be verified, but writing continuity is disrupted
Solution Approach 1:
The system performs character recognition in advance on handwriting segments before the user needs to verify or use the text. By pre-processing the handwriting recognition automatically, the system prepares recognized text ready for display without requiring user intervention during the writing flow, thus maintaining writing continuity while still providing accurate recognition through automated processing.
2Duration of action of moving object
If automatic recognition is implemented, then writing continuity is maintained, but manual verification is eliminated
Solution Approach 1:
The system performs self-service by automatically recognizing and converting handwriting to text without requiring user verification or intervention. The automatic recognition system processes handwriting segments independently, generating recognized text that is displayed directly, eliminating the need for manual verification while maintaining writing continuity. This self-service approach allows the system to operate autonomously in the recognition process.
3Duration of action of moving object
If handwriting is processed in real-time, then writing continuity is maintained, but processing delay increases
Solution Approach 1:
The system segments the continuous handwriting input into discrete segments or batches that can be processed in intervals. By dividing the handwriting stream into manageable segments, the system can process them efficiently without requiring immediate real-time processing of every single stroke, thus reducing processing delay while maintaining writing continuity through segmented batch processing.
Solution Approach 2:
The system implements periodic action by processing handwriting segments at predetermined time intervals rather than continuously. This periodic processing approach allows the system to maintain writing continuity by periodically updating the recognized text while avoiding the processing delays associated with continuous real-time analysis, optimizing the balance between responsiveness and processing efficiency.
Data Source
AI summary
A text conversion method, apparatus, storage medium and interactive device is provided. The method includes: storing handwriting input by a user in a handwriting queue to be processed; reading first N handwriting in the handwriting queue to be processed at a preset time interval, where the N is a positive integer greater than or equal to 1; composing a handwriting sequence with the read first N handwriting; performing character recognition on the handwriting sequence to acquire a target text; and finally replacing the displayed first N handwriting with the target text for display, which realizes automatic recognition of the user handwriting during the user writing process and displaying the recognized text, without manually selecting the recognized text by the user during the process, thereby ensuring the writing continuity of the user.