%0 Journal Article %1 noauthororeditor %A Naing, Phyu Myo Thwe | Nwe Ni Kyaw | Kyaw Kyaw %D 2019 %J International Journal of Trend in Scientific Research and Development %K Artificial CbCr Hand Intelligence Otsus Segmentation Threshold Thresholding based method %N 5 %P 1568-1571 %R https://doi.org/10.31142/ijtsrd26683 %T Hand Region Detection using CbCr Color Space and Otsu's Method %U https://www.ijtsrd.com/computer-science/artificial-intelligence/26683/hand-region-detection-using-cbcr-color-space-and-otsu%E2%80%99s-method/phyu-myo-thwe %V 3 %X 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. 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 URL: https://www.ijtsrd.com/papers/ijtsrd26683.pdfPaper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/26683/hand-region-detection-using-cbcr-color-space-and-otsu%E2%80%99s-method/phyu-myo-thwe

@article{noauthororeditor, abstract = {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. 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 URL: https://www.ijtsrd.com/papers/ijtsrd26683.pdfPaper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/26683/hand-region-detection-using-cbcr-color-space-and-otsu%E2%80%99s-method/phyu-myo-thwe }, added-at = {2019-09-12T11:08:59.000+0200}, author = {Naing, Phyu Myo Thwe | Nwe Ni Kyaw | Kyaw Kyaw}, biburl = {https://www.bibsonomy.org/bibtex/2db1abc0be3f044b16e61c3931173aebb/ijtsrd}, doi = {https://doi.org/10.31142/ijtsrd26683}, interhash = {c841e605999c2c2632095caf7ace2fb6}, intrahash = {db1abc0be3f044b16e61c3931173aebb}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Artificial CbCr Hand Intelligence Otsus Segmentation Threshold Thresholding based method}, language = {English}, month = aug, number = 5, pages = {1568-1571}, timestamp = {2019-09-12T11:08:59.000+0200}, title = {Hand Region Detection using CbCr Color Space and Otsu's Method }, url = {https://www.ijtsrd.com/computer-science/artificial-intelligence/26683/hand-region-detection-using-cbcr-color-space-and-otsu%E2%80%99s-method/phyu-myo-thwe}, volume = 3, year = 2019 }