Interesting Paper that deals with Classifying the Signatures as forged or original using Siamese Network
Siamese Neural Network is a class of neural network architectures that has two or more identical sub networks. The Sub Networks have same configuration with the same parameters and weights.
Parameter updating is mirrored across both sub networks.It is used find the similarity of the inputs by comparing its feature vectors. Triplet Loss or Euclidean Loss can be used to find the distance between the feature vectors.
Here, Euclidean Distance is used for Pairwise Distance.
Paper Reference: https://arxiv.org/pdf/1707.02131.pdf
