Sign language recognition using a combination of new vision based features /
Mahmoud Mohamed Zaki
Sign language recognition using a combination of new vision based features / التعرف على لغة الاشارة باستخدام معالم مرئية جديدة Mahmoud Mohamed Zaki ; Supervised Samir I. Shaheen - Cairo : Mahmoud Mohamed Zaki , 2010 - 70P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering
Sign languages are based on four components hand shape place of articulation hand orientation and movement . This thesis presents a novel combination of vision based features in order to enhance recognition of underlying signs . Three features are selected to be mapped to these four components
Appearance Based Features Hand Gesture Sign Language Recognition
Sign language recognition using a combination of new vision based features / التعرف على لغة الاشارة باستخدام معالم مرئية جديدة Mahmoud Mohamed Zaki ; Supervised Samir I. Shaheen - Cairo : Mahmoud Mohamed Zaki , 2010 - 70P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering
Sign languages are based on four components hand shape place of articulation hand orientation and movement . This thesis presents a novel combination of vision based features in order to enhance recognition of underlying signs . Three features are selected to be mapped to these four components
Appearance Based Features Hand Gesture Sign Language Recognition