Presentation on theme: "Handwritten Mathematical Symbol Recognition for Computer Algebra Applications Xiaofang Xie, Stephen M. Watt Dept. of Computer Science, University of Western."— Presentation transcript:
Handwritten Mathematical Symbol Recognition for Computer Algebra Applications Xiaofang Xie, Stephen M. Watt Dept. of Computer Science, University of Western Ontario ECCAD 2005 Motivation Provide computer algebra applications a nice pen-based interface Attract more users to Maple, Mathematica. Handwriting recognition is the key to PDA Make mathematics easier input and edited
Math Editor Limitations: cannot cover all math symbols Slow comparing with hand writing
Literature Overview Pattern Matching: feature matching, element matching, elastic matching Neural Network Hidden Markov Model On-line vs. Off-line recognition
Recognizer Architecture Data Collection Preprocessing Feature Extraction Hidden M. Model Grouping Vector Quantization Elastic Matching Combined Classifier Context Info
Preprocessing Resampling Deslanting Smoothing Size Normalization Selectively Chop Head / Tail
Feature Extraction Number of Strokes; Pendown; Pen Pressure Position of end points; Distance to initial. Writing Angle; SgnX; End points directions Point Density; Aspect Ratio Number of Cusps Number of Intersections Number of Loops Velocity; Acceleration
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