Algorithm 1 Evaluating models to differentiate siblings.

Input: Image Pairs of Siblings M with m pairs

τ = threshold array defined for each similarity measure

mod = respective model

for i = 1 to m do

for each image in pair do

I1 → read image;

I1 → resize image;

I1 → pre-process image;

P1 = extractEmbeddings(mod(I1));

I2 → read image;

I2 → resize image;

I2 → pre-process image;

P2 = extractEmbeddings(mod(I2))

end

end

cosine → cosine_distance(P1, P2)

euc → euclidean_distance( P1, P2 )

ssim → structured_similarity( P1, P2 )

manh → manhattan_distance( P1, P2 )

mink → minkowski_Distance( P1, P2 )

for j = 1 to τ.length do

if distance < τ[j]

distance_result → “Same”

else

distance_result → “Different”

end