Hand Motion Analysis for Thai Alphabet Recognition using HMM

Authors

  • Kittasil Silanon and Nikom Suvonvorn Author

Keywords:

Hand Movement Trajectory, Hand Gesture Recognition using HMM, Thai Alphabet Recognition

Abstract

In this paper, we propose a system for Thai 
alphabet recognition from hand movement trajectory, as a human-computer interaction method. Thai characters drawing by hand movement are analyzed and recognized by our system, which can apply for controlling any specific tasks. The method is based on hand motion analysis combining with Haar-like with a cascade of boost classifiers, as hand detection method. 
Hand is tracked with skin color using CamShift and Kalman filter. Trajectory features of hand are extracted and used for recognizing 12 Thai alphabets though the Hidden Markov Model

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Published

01.07.2021

How to Cite

Hand Motion Analysis for Thai Alphabet Recognition using HMM. (2021). International Journal of Information and Electronics Engineering, 1(1), 65-71. https://ijiee.org/index.php/ijiee/article/view/12