Biometrics, a general approach

The general idea behind identifying a person using a biometric property is the same for all biometrics out there. There are several steps that we should follow in the correct order if we want to achieve decent results. Moreover, we will point out some major points inside these general steps that will help you improve your recognition rate with extreme measures.

Step 1 – getting a good training dataset and applying application-specific normalization

The key to most biometric identification systems is to collect a system training dataset that is representative of the problem for which you will actually use the system. Research has proven that there is something called dataset bias, which means that if you train a system on a training set with a specific setup, environmental factors, and recording devices, and then apply that system to a test set which has been taken from a completely different setup with different environmental factors (like lighting sources...