Handwriting Chinese Character Correction System
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Solution Overview
Problem
Foreigners and new learners of Chinese often struggle to write Chinese characters correctly due to errors in the components (radicals) or their arrangement, and existing methods lack the capability to identify and correct these errors in real-time.
Innovation Solution
A system is developed that calculates and compares text features of handwritten Chinese characters with pre-stored template features, providing immediate feedback on correctness by matching necessary text features, thus indicating errors in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional stroke-based identification methods are used for Chinese characters, then the system can identify characters based on strokes and orders, but it cannot detect errors in components (radicals) or their arrangement
Solution Approach 1:
The system segments a Chinese character into multiple components (radicals) and analyzes each component's spatial relationship with others. By dividing the character structure into separable parts and evaluating their arrangements independently, the system can identify errors in component structure and positioning without requiring complete restructuring of the recognition framework
Solution Approach 2:
The patent introduces an intermediary verification layer that checks component arrangements between the initial stroke-based recognition and final character identification. This intermediary step validates whether components are correctly structured and positioned, providing error detection without fundamentally changing the existing stroke-based identification pipeline
2Productivity
If real-time feedback system is implemented to correct handwriting errors, then learning efficiency is improved, but system complexity and processing time increase
Solution Approach 1:
The system pre-establishes a database of correct component structures and valid arrangement patterns for Chinese characters before the recognition process begins. During real-time handwriting input, the system compares against these pre-computed standards rather than performing full analysis from scratch, enabling rapid error detection and immediate feedback without complex real-time computation
Solution Approach 2:
The system implements a feedback mechanism that immediately compares handwritten input against stored correct patterns and provides correction information in real-time. This continuous feedback loop allows learners to receive instant guidance on component structure errors and arrangement mistakes, improving learning efficiency through timely correction without requiring complex iterative processing
Data Source
AI summary
A system for determining correction of handwriting Chinese characters includes a Chinese character collector for collecting template Chinese characters which is inputted by handwriting. A feature classifier is connected to a pre-processor for automatically classifying features of the template Chinese characters. Text features of the template Chinese characters are acquired by a program. A tested handwriting Chinese character collector is connected to the feature classifier for collecting the handwriting Chinese characters to be tested. Exact external rectangles and mass centers of the handwriting Chinese characters to be tested are calculated, which are inputted to the feature classifier and the text features for the handwriting Chinese characters to be tested are calculated. A feature comparator is connected to the feature classifier and serves to compare the text features of a handwriting Chinese character to be tested with feature sets stored in a feature set database.