The One Cent Recognizer: A Fast, Accurate, and Easy-to-Implement Handwritten Gesture Recognition Technique

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dc.contributor.authorHerold, Jamesen_US
dc.contributor.authorStahovich, Thomas F.en_US
dc.contributor.editorKaran Singh and Levent Burak Karaen_US
dc.date.accessioned2014-01-28T18:19:34Z
dc.date.available2014-01-28T18:19:34Z
dc.date.issued2012en_US
dc.description.abstractWe present the One Cent Recognizer, an easy-to-implement, efficient, and accurate handwritten gesture recognizer. By applying time series recognition techniques, we have developed a minimally complex technique that is both much faster than and at least as accurate as the Dollar Recognizer. Additionally, the One Cent Recognizer is much easier to implement than the Dollar Recognizer. Our technique is primarily enabled by a simple and novel one-dimensional representation of handwritten pen strokes. This representation is intrinsically rotation invariant, allowing our technique to avoid costly rotate-and-check searches typically employed in prior template-based gesture recognition techniques. In experiments, our technique has proven to be two orders of magnitude faster than the Dollar Recognizer.en_US
dc.description.seriesinformationEurographics Workshop on Sketch-Based Interfaces and Modelingen_US
dc.identifier.isbn978-3-905674-42-2en_US
dc.identifier.issn1812-3503en_US
dc.identifier.urihttps://doi.org/10.2312/SBM/SBM12/039-046en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I5.2 [Pattern Recognition]: Design Methodology- Classifier Design and implementationen_US
dc.titleThe One Cent Recognizer: A Fast, Accurate, and Easy-to-Implement Handwritten Gesture Recognition Techniqueen_US
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SBM12: Sketch Based Interfaces and Modeling 2012