TY  - CHAP
AU  - Josep Llados
AU  - Ernest Valveny
AU  - Gemma Sanchez
AU  - Enric Marti
A2  - GREC
ED  - Dorothea Blostein and Young- Bin Kwon
PY  - 2002//
TI  - Symbol recognition: current advances and perspectives
T2  - LNCS
BT  - Graphics Recognition Algorithms And Applications
T3  - Lecture Notes in Computer Science
SP  - 104
EP  - 128
VL  - 2390
PB  - Springer-Verlag
N2  - The recognition of symbols in graphic documents is an intensive research activity in the community of pattern recognition and document analysis. A key issue in the interpretation of maps, engineering drawings, diagrams, etc. is the recognition of domain dependent symbols according to a symbol database. In this work we first review the most outstanding symbol recognition methods from two different points of view: application domains and pattern recognition methods. In the second part of the paper, open and unaddressed problems involved in symbol recognition are described, analyzing their current state of art and discussing future research challenges. Thus, issues such as symbol representation, matching, segmentation, learning, scalability of recognition methods and performance evaluation are addressed in this work. Finally, we discuss the perspectives of symbol recognition concerning to new paradigms such as user interfaces in handheld computers or document database and WWW indexing by graphical content.
SN  - 3-540-44066-6
UR  - http://portal.acm.org/citation.cfm?id=652807
L1  - http://refbase.cvc.uab.es/files/LVS2002.pdf
UR  - http://dx.doi.org/10.1007/3-540-45868-9_9
N1  - DAG; IAM;
ID  - Josep Llados2002
ER  -