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Identifying forged signatures using convolutional siamese networks implemented in Keras

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I need help in plotting FAR or FRR

I use file SigNet-BHSig260.ipynb on Google Colab, but when i ran code: # network definition base_network = create_base_network_signet(input_shape) input_a = Input(shape=(input_shape)) input_b = Input(shape=(input_shape)) # because we re-use the same...

Hello hlamba28, I have trained the code on 2 dataset [CEDAR](http://www.cedar.buffalo.edu/NIJ/data/signatures.rar) and [BHSig260](https://ieeexplore.ieee.org/abstract/document/7490096). I have created train, validation and test set with following partition | Dataset | Total (# writers)...

Working with updated TensorFlow and Keras versions Can be found here:- https://colab.research.google.com/github/vasantvohra/Offline-Signature-Verification-using-Siamese-Network/blob/master/SigNet.ipynb

For how many epoch I should run the model