Neural network based partial fingerprint recognition as support for forensics

Traditional pattern recognition systems were implemented using neural network systems in order to recognize partial prints ranging from 100%, 75%, 50%, 40% and 30% of the whole fingerprint image. The uniqueness of the patterns of each individual fingerprint served as the motivation in pursuing this research in identifying partial fingerprints where the minutiae pattern identification method cannot be used due to incomplete information arising from the partiality of the fingerprint. Promising results are achieved during experimentations. This system is also able to identify partial prints subjected to incorporated noise and at most 10% blank spots within the prints. This partial fingerprint recognition system is intended to support forensic science particularly during crime scene investigations where full images of the fingerprints are impossible to locate.