Algorithm 1 Fusion of Iris and Signature Traits.
1:	for each fusion per User do
2:	for each User do
3:	if iris then
4:	Siris ← HammingDistance {//Iris Score Generation}
5:	else
6:	Ssig ← MahalanobisDistance {//Signature Score Generation}
7:	end if
8:	end for
9:	for each score do
10:	if Siris then
11:	$S_{\mathit{\text{iris}}}^{\prime }\leftarrow \mathit{\text{Normalization}}(S_{\mathit{\text{iris}}})$
12:	else
13:	$S_{\mathit{\text{sig}}}^{\prime }\leftarrow \mathit{\text{Normalization}}(S_{\mathit{\text{sig}}})$
14:	end if
15:	end for
16:	for each normalized score do
17:	if $S_{\mathit{\text{iris}}}^{\prime }$ then
18:	$W_{\mathit{\text{iris}}}\leftarrow \mathit{\text{Weighting}}(S_{\mathit{\text{iris}}}^{\prime })$
19:	else
20:	$W_{\mathit{\text{sig}}}\leftarrow \mathit{\text{Weighting}}(S_{\mathit{\text{sig}}}^{\prime })$
21:	end if
22:	end for
23:	$S_{\mathit{\text{fus}}}\leftarrow W_{\mathit{\text{iris}}}{S}_{\mathit{\text{iris}}}^{\prime }+W_{\mathit{\text{sig}}}{S}_{\mathit{\text{sig}}}^{\prime }$
24:	end for