Urdu Handwritten Characters Data Visualization and Recognition Using Distributed Stochastic Neighborhood Embedding and Deep Network

Table 4

The confusion matrix showing accuracy rate of classification of Urdu handwritten characters using 8-fold cross validation.

Grp	Grp	Grp	Grp	Grp	Grp	Grp	Grp	Grp	Grp	Grp	Grp	Classified
1	2	3	4	5	6	7	8	9	10	11	12	As
91%	3%	0	0	0	0	2%	0	2%	1%	0	1%	Group 1
0	85%	4%	0%	1%	3%	0	2%	0	1%	3%	1%	Group 2
0	0	90%	3%	0	1%	2%	0	0	0	2%	2%	Group 3
1%	1%	2%	89%	0	3%	0	2%	0	1%	0	1%	Group 4
0	0	1%	0	95%	0	1%	0	1%	0	1%	1%	Group 5
0	0	2%	0	0	94%	2%	0	2%	0	0	0	Group 6
0	0	0	0	0	0	93%	4%	0	0	1%	2%	Group 7
0	0	0	0	2%	1%	0	94%	0	1%	1%	1%	Group 8
0	0	1%	0	3%	0	3%	0	87%	0	2%	4%	Group 9
0	0	0	3%	2%	0	2%	0	0	90%	1%	2%	Group 10
0	0%	3%	0	0	0	0	0	4%	0	90%	3%	Group 11
0	0	0	3%	0	2%	1%	0	1%	0	0	93%	Group 12

The values in bold (in diagonal) are representing the accuracy percentage of the classification of Urdu handwritten characters obtained by applying using variations of the n-fold cross-validation approach.