Abstract
When objects are represented by curves in a plane, highly useful information is conveyed by significant points. In this paper, we compare the use of different mobile windows to extract dominant points of handwritten characters. The error rate and classification time using an edit distance based nearest neighbour search algorithm are compared for two different cases: string and tree representation. © Springer-Verlag 2004.
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CITATION STYLE
Rico-Juan, J. R., & Micó, L. (2004). Finding significant points for a handwritten classification task. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3211, 440–446. https://doi.org/10.1007/978-3-540-30125-7_55
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