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Given two handwritten documents, the writer verification
problem is to determine whether the two documents were written by
the same person. It is tackled by extracting various features and classi
fying the patterns into their classes. Features are diverse in type while
techniques in pattern recognition typically require that features be ho
mogeneous. The solution proposed overcomes both the nonhomogeneity
of features and the intractability of infinite number of writers by a di
chotomy transformation. In this model, the distance between each
homogeneous feature type is used. We integrate several distance measures
for many feature types: element, histogram, string, convex hull, etc into
one useful for writer verification. Experimental results with 1; 000 writers
with three sample documents per writer, using only 12 feature distances,
results in 97% accuracy. Keywords: Dichotomizer, Multiple Feature Integration, Writer Verification |
In: L.R.B. Schomaker and L.G. Vuurpijl (Eds.)
Proceedings of the Seventh International Workshop on Frontiers
in Handwriting Recognition, September 11-13 2000, Amsterdam,
Nijmegen: International Unipen Foundation,
ISBN 90-76942-01-3
pp. 333-342.