LipiTk: A Generic Toolkit for Online Handwriting Recognition
Madhvanath, Sriganesh; Vijayasenan, Deepu; Kadiresan, Thanigai Murugan
External - Copyright Consideration
Keyword(s): online handwriting recognition; shape recognition; toolkit; linguistic resources; API
Abstract: This paper describes Lipi Toolkit (LipiTk) - a generic toolkit whose aim is to facilitate development of online handwriting recognition engines for new scripts, and simplify integration of the resulting engines into real-world application contexts. The toolkit provides robust implementations of tools, algorithms, scripts and sample code necessary to support the activities of handwriting data collection and annotation, training and evaluation of recognizers, packaging of engines and their integration into pen-based applications. The toolkit is designed to be extended with new tools and algorithms to meet the requirements of specific scripts and applications. The toolkit attempts to satisfy the requirements of a diverse set of users, such as researchers, commercial technology providers, do-it-yourself enthusiasts and application developers. In this paper we describe the first version of the toolkit which focuses on isolated online handwritten shape and character recognition.
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