In this paper, we propose a novel descriptor based on symbol signatures for symbol filtering and recognition. First of all, all symbols are assumed in vectorial forms. All the primitive-pair relationships in a symbol are recorded and employed to create the signature representing the symbol. Although the approach aims at discriminating the symbol rapidly, it still preserves high recognition accuracy. Experiments on the data sets in GREC2003 [6] show its invariance on rotation, scaling, and other affine transformations.
['Zhang W', 'Liu Wenyin']
A New Vectorial Signature for Quick Symbol Indexing, Filtering and Recognition