Text Recognition System With Semantic Error Correction
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Solution Overview
Problem
Current OCR technologies face limitations in accurately recognizing text information, especially when dealing with printed and non-printed characters, and lack effective methods for user feedback that cater to diverse preferences and needs.
Innovation Solution
A method and apparatus that acquire image information, recognize text using OCR and semantic analysis, and provide feedback through speech synthesis and display presentation, allowing for customization of language, tone, and visual settings, while enabling user interaction and annotation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If OCR method is used to recognize text information, then text recognition is achieved, but recognition accuracy is insufficient especially for non-printed characters
Solution Approach 1:
The patent combines OCR recognition with semantic analysis to create a hybrid recognition system. The OCR module handles initial text extraction while the semantic analysis module corrects errors and improves accuracy, particularly for non-printed characters. This merging of two different recognition approaches resolves the contradiction by maintaining the speed advantage of OCR while adding the accuracy improvement of semantic analysis.
Solution Approach 2:
The patent implements a feedback mechanism where the recognition results are continuously refined through semantic analysis. The system feeds back the initial OCR results to the semantic analysis module, which then provides corrected results. This iterative feedback process improves recognition accuracy while maintaining operational reliability.
2Adaptability or versatility
If single feedback method is used, then system complexity is reduced, but user experience and accessibility are limited
Solution Approach 1:
The patent implements multiple feedback methods (speech output, text display, and combined modes) within a single system. The feedback unit can selectively activate different output methods based on user needs, making the system universally applicable to diverse user groups including visually impaired users, hearing impaired users, and general users. This multi-functionality resolves the contradiction by providing adaptability without requiring separate systems for different user needs.
Solution Approach 2:
The patent makes the feedback system dynamic by allowing users to switch between different feedback modes (speech-only, text-only, or combined). The system adapts its feedback delivery based on user preferences and environmental conditions, resolving the contradiction between versatility and complexity through flexible, user-configurable dynamics.
3Loss of information
If comprehensive text recognition is provided, then information completeness is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary OCR recognition to extract text information quickly, then applies semantic analysis only to correct specific errors rather than re-processing the entire text. This preliminary action approach maintains information completeness while reducing overall processing time by avoiding redundant full-text analysis.
Solution Approach 2:
The patent applies semantic analysis selectively to portions of text that are likely to contain errors rather than processing every character uniformly. This partial action approach ensures information completeness for critical text while minimizing processing time by focusing computational resources where they are most needed.
Data Source
AI summary
A method and apparatus for processing information are provided. A specific embodiment of the method includes: acquiring image information containing text information, the text information comprising printed characters and non-printed characters; recognizing the text information is the image information to generate display data, the display data comprising a recognition result of the text information; and feeding back the display data to a user. This embodiment helps to reduce the limitations on the acquisition method and the contents of image information, and may enrich the feedback method and the contents of the text information therein.