Arabic Sign Language Recognition System for Alphabets Using Machine Learning Techniques

Table 7

The hand features used in AArSLRS.

Features	Feature description	Feature equation
F1	The ratio coordinates of the hand center of mass on the x-axis, to the width of around box by hand	F1 = CX/x.width
F2	The ratio coordinates of the hand center of mass on the y-axis, to the length of around box by hand	F2 = CY/y.length
F3	The ratio between the width of around box by hand to the length of around box by hand	F3 = x.width/y.length
F4	The ratio pixels of between the object (hand) area to the area of around box by hand	F4 = area (object)/area of bounding box
F5	The ratio between object (hand) perimeter to object (hand) area	F5 = perimeter (object)/area (object)
F6	The ratio between object major axis length to area of bounding box	F6 = object major axis length/area of bounding box
F7	The ratio between object minor axis length to area of bounding box	F7 = object minor axis length/area of bounding box
F8–F15	Extrema (endpoints of hand shape)	F8 = X top-left
		F9 = X top-right
		F10 = X right-top
		F11 = Y right-top
		F12 = X right-bottom
		F13 = Y right-bottom
		F14 = Y left-bottom
		F15 = Y left-top