Title :
A retargetable framework for interactive diagram recognition
Author_Institution :
Dept. of Comput. Sci., San Francisco State Univ., CA, USA
Abstract :
The design of new diagram recognition systems remains a challenging problem. Ideally, recognition systems should accept real-world input, perform robustly, fail gracefully, and be implemented in a timely manner. In reality, the intricacy involved in implementing recognition systems for diagram notations makes this a challenging open problem. One solution to these challenges is the design of middleware to speed the development of robust applications. Middleware takes the form of a framework or toolkit for the creation of applications. This paper describes a retargetable framework which can be used to speed the development of robust interactive sketch recognition systems. The system includes a drawing surface to capture interactively created drawings, a set of generic segmentation routines, a character recognizer, and a common interface for integrating domain-specific components. The framework has been used to construct systems for the recognition of UML, math, and molecular diagrams. Work is on-going on the design of additional generic recognizers of logical structure and spatial layout of diagrams.
Keywords :
character recognition; diagrams; document image processing; image recognition; image segmentation; middleware; UML recognition; character recognizer; domain-specific component integration; drawing surface; generic segmentation routine; interactive diagram recognition; math recognition; middleware design; molecular diagram recognition; retargetable framework; Image analysis; Image databases; Image recognition; Inference algorithms; Kernel; Libraries; Middleware; Robustness; Text analysis; Unified modeling language;
Conference_Titel :
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-1960-1
DOI :
10.1109/ICDAR.2003.1227656