Sketch Recognition for Course of Action Diagrams
Year: 2007
Type: article
Abstract: This thesis describes a software program that recognizes hand-drawn Course of Ac-tion diagrams. User input is through sketching, or a combination of sketching and speech. Course of Action symbols are recognized incrementally, and the informal sketching input is replaced with formal images of the symbols. The system uses the LADDER shape definition language to represent the geometric properties of shapes, and is capable of recognizing 327 distinct Course of Action symbols. The Intermediate Feature Recognizer is used to recognize shapes of intermediate complexity and is ca-pable of recognizing some shapes that cannot be described using LADDER defintions. By detecting features of intermediate complexity, the system is capable of automatic error correction of some stroke segmentation errors and dealing with filled-in and multi-segment lines. The system is also able to recognize a combination of speech and sketching input of some information that can't easily be communicated through sketching alone. The system has a shape grammar to allow the sketch recognizer to conform to rules for creating Course of Action symbols. The system is also capable
Author: Kevin Stolt
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2153046716