Abstract
A brief survey on on-line graphics recognition is presented. We first present some common scenarios and applications of on-line graphics recognition and then identify major problems and sub-problems at three levels: primitive shape recognition, composite graphic object recognition, and document recognition and understanding. Representative approaches to these problems are also presented. We also list several open problems at the end. © Springer-Verlag 004.
Cite
CITATION STYLE
Liu, W. (2004). On-line Graphics Recognition: State-of-the-Art. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3088, 291–304. https://doi.org/10.1007/978-3-540-25977-0_27
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
