We are interested in the problem of curve identification, motivated by problems in handwriting recognition.
Various geometric approaches have been proposed, with one of the most popular being "elastic matching." We
examine the problem using distances defined by inner products on functional spaces. In particular we examine the
Legendre and Legendre-Sobolev inner products. We show that both of these can be computed in online constant
time. We compare both with elastic matching and conclude that the Legendre-Sobolev distance measure provides
a competitive alternative to elastic matching, being almost as accurate and much faster.
Conference Committee Involvement (5)
Document Recognition and Retrieval XXI
5 February 2014 | San Francisco, California, United States
Document Recognition and Retrieval XX
5 February 2013 | Burlingame, California, United States
Document Recognition and Retrieval XIX
25 January 2012 | Burlingame, California, United States
Document Recognition and Retrieval XVIII
26 January 2011 | San Francisco Airport, California, United States
Document Recognition and Retrieval XVII
20 January 2010 | San Jose, California, United States
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