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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1
A New Vectorial Signature for Quick Symbol Indexing, Filtering and Recognition
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
W. Zhang, City University of Hong Kong, Hong Kong, China
W. Liu, City University of Hong Kong, Hong Kong, China
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 sym- bol. Although the approach aims at discriminating the sym- bol rapidly, it still preserves high recognition accuracy. Ex- periments on the data sets in GREC2003 [6] show its invari- ance on rotation, scaling, and other affine transformations.
Citation:
W. Zhang, W. Liu, "A New Vectorial Signature for Quick Symbol Indexing, Filtering and Recognition," icdar, vol. 1, pp.536-540, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
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