|Presentation Date||October 4, 2012|
Captured fingerprint images can be processed through a series of image processing algorithms to obtain a clear unambiguous skeletal image of the original finger impressions. This is done by checking for specific features on fingerprints. The main feature that is checked are called minutiae. Minutiae describe the different patterns of fingerprint lines such as Ridge Endings, Bifurcation, and Short Ridges. All of these specific details are called level 2 characteristics. While level 2 characteristics focus on detail, level 1 characteristics focus on a bigger view. This includes ridge flow and the three main fingerprint patterns. Once all of this infromation is gathered software is used to judge the minutiae and compute a score to determine how closely related the fingerprints are.