Classification of pen gestures using learning vector quantization

Ravi V. Shankar; Dilip Krishnaswamy

doi:10.1117/12.162030

29 October 1993 Classification of pen gestures using learning vector quantization

Ravi V. Shankar, Dilip Krishnaswamy

Proceedings Volume 2032, Neural and Stochastic Methods in Image and Signal Processing II; (1993) https://doi.org/10.1117/12.162030
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

This paper deals with the classification of pen gestures using the learning vector quantization algorithm, a supervised learning technique. Both single stroke and multi stroke gestures are considered. The slope information from the strokes is extensively preprocessed before classification. The preprocessing and the classification algorithms chosen help to obtain very high rates of gesture classification. This is especially true in the multi stroke case. The recognition of the pen gestures is independent of their position, orientation, and size.

Citation Download Citation

Ravi V. Shankar and Dilip Krishnaswamy "Classification of pen gestures using learning vector quantization", Proc. SPIE 2032, Neural and Stochastic Methods in Image and Signal Processing II, (29 October 1993); https://doi.org/10.1117/12.162030

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