Handwritten Signature Identification

Simplified version of Handwritten Signature datasets where it has 5 classes (PersonA...PersonE) splited into training/ testing folders. and a CSV files folder containing whether its real or forged for each class in training / test.
The goal here is to train 2 models (1 for identifying the person sig. and 2 for validating that it is a real one).
This dataset is part of the Computer Vision course by FCIS-ASU divided into 2 main tasks :

1. Signature Identification : Building a classical vision or DL techniques to identify the person of this signature.
2. Signature Verification : Build a 5 different models to identify for each class if it is a real or fake OR build a 1 siamese network that verifies the signature of the person whether it is a real one or fake one.