TY  - JOUR
AU  - Ernest Valveny
AU  - Enric Marti
A2  - Springer Verlag
PY  - 2000//
TI  - Deformable Template Matching within a Bayesian Framework for Hand-Written Graphic Symbol Recognition
JO  - Graphics Recognition Recent Advances
SP  - 193
EP  - 208
VL  - 1941
PB  - Springer Verlag
N2  - We describe a method for hand-drawn symbol recognition based on deformable template matching able to handle uncertainty and imprecision inherent to hand-drawing. Symbols are represented as a set of straight lines and their deformations as geometric transformations of these lines. Matching, however, is done over the original binary image to avoid loss of information during line detection. It is defined as an energy minimization problem, using a Bayesian framework which allows to combine fidelity to ideal shape of the symbol and flexibility to modify the symbol in order to get the best fit to the binary input image. Prior to matching, we find the best global transformation of the symbol to start the recognition process, based on the distance between symbol lines and image lines. We have applied this method to the recognition of dimensions and symbols in architectural floor plans and we show its flexibility to recognize distorted symbols.
L1  - http://refbase.cvc.uab.es/files/MVA2000.pdf
UR  - http://dx.doi.org/10.1007/3-540-40953-X_16
N1  - DAG;IAM;
ID  - Ernest Valveny2000
ER  -