Digitization of paper fingerprint cards is an actual task both for daily work of law enforcements, because they still do fingerprinting on paper, and for conversion of existing archives to digital format.
In many criminal AFIS this task is still implemented in semi-automated mode: an operator needs to enter some information manually or do manual adjustments after automated detection. In that way conversion of fingerprint cards becomes a time-consuming and tedious work, which wastes a lot of time of law enforcement officers.
Neurodactyl SDK for fingerprint cards digitization makes it easier and faster in order of magnitude. Machine learning algorithms, implemented in the SDK, analyze images similarly to human brains, accurately finding all "objects of interests" and allowing to process majority of fingerprints cards in automatic mode with minimal human adjudication.