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Issue No.02 - February (2005 vol.27)
pp: 278-281
ABSTRACT
A new descriptor for symbol recognition is proposed. 1) A histogram is constructed for every pixel to figure out the distribution of the constraints among the other pixels. 2) All the histograms are statistically integrated to form a feature vector with fixed dimension. The robustness and invariance were experimentally confirmed.
INDEX TERMS
Symbol recognition, graphics recognition, descriptor, feature extraction, feature representation.
CITATION
Su Yang, "Symbol Recognition via Statistical Integration of Pixel-Level Constraint Histograms: A New Descriptor", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.27, no. 2, pp. 278-281, February 2005, doi:10.1109/TPAMI.2005.38
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