Phyu Myo Thwe

Work place: Image Processing Lab, University of Computer Studies, Mandalay, Myanmar



Research Interests: Computer systems and computational processes, Computational Learning Theory, Image Manipulation, Image Processing


Phyu Myo Thwe, female, Assistant Lecturer, Her research interests include digital image processing and Deep Learning. She got B.C.Sc at 2009 and B.C.Sc (Hons:) at 2010 from the University of Computer Studies, Monywa, Myanmar. She also got M.C.Sc(Credit) degree from the University of Computer Studies, Monywa, Myanmar at 2012. Now, she is currently working toward the Ph.D. degree in the University of Computer Studies, Mandalay, Myanmar.

Author Articles
Analysis on Skin Colour Model Using Adaptive Threshold Values for Hand Segmentation

By Phyu Myo Thwe May TheYu

DOI:, Pub. Date: 8 Sep. 2019

The hand gesture recognition system is the hottest topic for the human-machine interaction and computer vision fields. The hand gesture recognition system is still a challenging research area in computer vision for human-computer interaction because of various device conditions, various illumination effects, and very complex background. The recognition of hand gestures used in various application areas: such as sign language recognition, man-machine interaction, human-robot interaction, and intelligent device control and many other application areas. The robust detection of hand in hand gesture recognition system has become a challenging task due to clutter background, dynamic background, and various illumination conditions in real-world conditions. Segmentation is the partioning/separating the foreground hand region from the background region in an image. Segmentation is also pre-processing steps of the hand gesture recognition system. The recognition accuracy will increase if the hand region correctly detected. So, hand region detection is the main important step for the hand gesture recognition system. 

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