Our Inception Model will be trained to classify whether the provided input is a form of fingerprint input or not. This CNN will help us filter out bad inputs that have resembling features like that of the fingerprint input. Thus this classifier will be able to help us with input with a certain level of noise. The classifier will take the input classify it on the basis whether it can be passed on to the next stage for the verification and authentication process.
You should see an accuracy value of between 90% and 95%, though the exact value will vary from run to run since there's randomness in the training process. This number is based on the percent of the inputs in the test set that are given the correct label after the model is fully trained.