Directional Blurred Shape Model Descriptor for Sketched Symbol Recognition
Keywords:
Sketched symbol recognition, blurred shape model (BSM), directional information, classification.Abstract
A new descriptor is proposed for sketched symbol recognition. It incorporates local direction information of sampling points into the BSM (Blurred Shape Model) descriptor, which represent only the spatial distribution of a symbol. In the proposed directional BSM (DBSM), a symbol is firstly decomposed into four directional sub-symbols. Then in each sub-symbol, the nrBSM (Non-Rigid BSM) descriptor is extracted. The four nrBSMs form the final DBSM descriptor. It inherits from the traditional BSM the invariance to stroke order and number. Moreover, the new descriptor results in better performances in sketched symbol recognition.
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