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Hand Region Detection using CbCr Color Space and Otsu’s Method

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Hand Region Detection using CbCr Color Space and Otsu’s Method


Phyu Myo Thwe | Nwe Ni Kyaw | Kyaw Kyaw Naing



Phyu Myo Thwe | Nwe Ni Kyaw | Kyaw Kyaw Naing "Hand Region Detection using CbCr Color Space and Otsu’s Method" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.1568-1571, URL: https://www.ijtsrd.com/papers/ijtsrd26683.pdf

Hand Segmentation is the most important steps for hand gesture recognition. If the correctly detect the hand, the hand gesture recognition accuracy will increase. In our research, we used two different threshold-based segmentation methods to detect the hand in various background conditions (simplex and complex) and various illumination conditions and compare the accuracy. The main objective of this paper is to investigate the best threshold values of CbCr threshold-based method on the performance of hand segmentation process. The proposed system used the CbCr color threshold based method with various threshold values and otsu’s method for skin color hand segmentation.

Hand Segmentation; CbCr Threshold based method; Otsu’s Threshold based method, Thresholding


IJTSRD26683
Volume-3 | Issue-5, August 2019
1568-1571
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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