Arabic Sign Language Recognition System for Alphabets Using Machine Learning Techniques

Table 11

Confusion matrix of 14-letter recognition rate by KNN classifier.

أ	ح	ر	س	ص	ط	ع	ق	ك	ل	م	ن	ه	ي	<-- classified as	Class
59	0	0	0	0	0	0	0	0	0	0	0	0	0	a = alef	أ
0	75	0	0	0	0	0	0	0	0	0	0	0	0	b = haa	ح
0	0	68	0	0	0	0	0	0	0	0	0	0	0	c = ra	ر
0	0	0	60	0	0	0	0	0	0	0	0	0	0	d = sen	س
0	0	0	0	72	0	0	0	0	0	0	0	0	0	e = sad	ص
0	0	0	0	0	69	0	0	0	0	0	0	0	0	f = tah	ط
0	0	0	0	0	0	62	0	0	0	0	0	0	0	= ayn	ع
0	0	0	0	0	0	0	74	0	0	0	0	0	0	h = ka	ق
0	0	0	0	0	0	0	0	60	0	0	0	0	0	i = kaf	ك
0	0	0	0	0	0	0	0	0	70	0	0	0	0	j = la	ل
0	0	0	0	0	0	0	0	0	0	61	0	0	0	k = mem	م
0	0	0	0	0	0	0	0	0	0	0	59	0	0	l = non	ن
0	0	0	0	0	0	0	0	0	0	0	0	62	0	m = he	ه
0	0	0	0	0	0	0	0	0	0	0	0	0	64	n = ya	ي