AN APPRAISAL OF AUTOMATED HAND GESTURE RECOGNITION TECHNIQUES | [Pakistan Journal of Science • 2016]

Author(s):

1. M. Jamil: Department of Computer Science, School of Science and Technology, University of Management and Technology,Lahore, Pakistan

2. M. K. Mahmood: Department of Mathematics, University of the Punjab, Lahore, Pakistan

3. Y. D. Khan: Department of Computer Science, School of Science and Technology, University of Management and Technology,Lahore, Pakistan

Abstract:

Hand gesture segmentation for identification and prediction analysis has been a prevalent topic in the community of the researchers working in the field of image processing and computer vision. Hand gestures were used by humans to signify various expressions, moods and actions. The advent of intelligent devices has made hand gesture recognition even more interesting. Many researchers have worked on intelligent interfaces that use hand gestures for its operations. Various state of art techniques used for hand gesture recognition has been critically analyzed. A method using Hahn moments and neural networks has been proposed. A subsequent comparative study has been drawn in terms of performance of the proposed and other competitive techniques. It was observed that the proposed technique was quite accurate and efficient.

Page(s): 432-440

DOI: DOI not available

Published: Journal: Pakistan Journal of Science, Volume: 68, Issue: 4, Year: 2016

Keywords:

Hand gesture recognition , Hahn moments , Receiver operating characteristics , image processing

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