Handwriting Stroke Slant and Pixel Matrix Rendering
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Solution Overview
Problem
Existing touch screen systems lose calligraphic data, such as character stroke slant and pixel matrix information, when rendering handwritten input as digitized typography, failing to preserve the intent and style of the original handwriting.
Innovation Solution
An apparatus and method that parse calligraphic data from digitized handwriting, including character stroke slant and pixel matrix, to select a render font and render font size, thereby capturing and displaying the full intent of the handwritten input by rendering digitized handwriting with selected fonts based on these attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If handwritten input is digitized and rendered as standard typography, then the output is clean and readable, but the calligraphic data (stroke slant, pixel matrix, style information) is lost
Solution Approach 1:
The patent extracts calligraphic data (stroke slant, pixel matrix, style attributes) from the digitized handwriting before rendering. This extraction process separates the stylistic information from the basic character recognition, allowing the calligraphic data to be preserved and applied during the rendering phase to maintain the original handwriting style while producing clean typographic output
Solution Approach 2:
The system performs preliminary analysis of the handwritten input to identify and capture calligraphic attributes before the final rendering occurs. By pre-processing the handwriting to extract stroke characteristics, slant angles, and pixel matrix patterns, the system prepares the stylistic information in advance so it can be applied during rendering without adding complexity to the core recognition process
2Measurement precision
If calligraphic data is preserved through parsing and font selection, then handwriting style fidelity is improved, but processing complexity increases
Solution Approach 1:
The patent transforms the continuous stroke data from handwriting into discrete parametric representations (stroke slant angles, pixel matrix patterns, font selection parameters). By converting the analog handwriting characteristics into standardized parameters that map to available font variations, the system achieves high style fidelity while using conventional font rendering infrastructure, thus limiting the increase in processing complexity
Solution Approach 2:
The system introduces an intermediary layer that maps extracted calligraphic parameters to the nearest matching font characteristics. This intermediary mapping process translates complex stroke patterns into font selection criteria, allowing the system to preserve handwriting style without directly implementing complex stroke rendering, thereby managing processing complexity while maintaining measurement precision
Data Source
AI summary
For reflecting handwriting attributes in typographic characters, code parses calligraphic data from digitized handwriting on the touch screen display. The calligraphic data includes a character stroke slant and a character pixel matrix. In addition, the code renders the digitized handwriting with a render font selected in response to one or more of the character stroke slant and the character pixel matrix.