Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model

This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a stochastic process that is governed by a hidden stochastic model and identified according to its probability of generati...

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Bibliographische Detailangaben

Hauptverfasser:	Sun, Zhengxing, Jiang, Wei, Sun, Jianyong
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Composite Feature Computer science control theory systems Exact sciences and technology Handwriting Recognition Handwritten Character Hide Markov Model Hide Markov Model State
Online-Zugang:	Volltext
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