Neural-network-based system for recognition of partially occluded shapes and patterns
D.P. Mital, E.K. Teoh, S.K. Amarasinghe, Ponnuthurai Nagaratnam Suganthan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
The purpose of this paper is to demonstrate how a structural matching approach can be used to perfonn effective rotational invariant fingerprint identification. In this approach, each of the exiracted features is correlated with Live of its nearest neighbouring features to form a local feature gmup for a first-stage matching. After that, the feature with the highest match is used as a central feature whereby all the other features are correlated to form a global feature group for a second.stage matching. The correlation between the features is in terms of distance and relative angle. This approach actually make the matching method rotational invariant A substantial amount of testing was carried out and it shows that this matching technique is capable of matching the four basic fingerprint patterns with an average matching time of4 seconds on a 66Mhz, 486 DX personal computer.