Dynamic Hand Gesture Recognition of Arabic Sign Language using Hand Motion Trajectory Features
Keywords:
arabic sign language; skin color segmentation; gesture recognition; face detection; hu moments; correlation coefficients
Abstract
In this paper we propose a system for dynamic hand gesture recognition of Arabic Sign Language The proposed system takes the dynamic gesture video stream as input extracts hand area and computes hand motion features then uses these features to recognize the gesture The system identifies the hand blob using YCbCr color space to detect skin color of hand The system classifies the input pattern based on correlation coefficients matching technique The significance of the system is its simplicity and ability to recognize the gestures independent of skin color and physical structure of the performers The experiment results show that the gesture recognition rate of 20 different signs performed by 8 different signers is 85 67
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Published
2013-03-15
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Copyright (c) 2013 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.