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Distance between Histograms of Angular Measurements and its Application to Handwritten Character Similarity
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90601015th International Conference on Patt ...
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Sung-Hyuk Cha, State University of New York at Buffalo
Sargur N. Srihari, State University of New York at Buffalo
The similarity between two histograms has attracted many researchers in various fields. The type of histograms to be matched is often angular such as gradient directions in character images and hue values in color images. The distance between two angular type histograms differs from those of nominal or ordinal type histograms. Alas, conventional distance measures do not distinguish them. Thus, we present a new algorithm to compute the newly proposed distance. We describe how to apply the distance to handwritten character similarity.
Index Terms:
Character Similarity, Distance Measure, Histogram
Citation:
Sung-Hyuk Cha, Sargur N. Srihari, "Distance between Histograms of Angular Measurements and its Application to Handwritten Character Similarity," icpr, vol. 2, pp.2021, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000
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