This awardee has received supplemental funding. This award detail page includes information about both the original award and supplemental awards.
Description of original award (Fiscal Year 2007, $260,038)
Michigan State University will develop a fingerprint system to automatically extract extended features, including pores, dots, ridge contours and minutiae shape and then use them to improve the fingerprint matching performance, both for ten prints and latents. The goal of this biometrics project is to study the statistical properties of extended features, and to empirically demonstrate the performance gain by combining minutiae and extended features using various fusion schemes. This system will lead to an improved tool for use by state and local criminal justice agencies, to combat terrorism and other types of crime, and will be compatible with NIST standards and interoperable with the FBI's IAFIS system.
This phase II of the project will extend the current research to robustly extract and match prominent extended features in latent fingerprints. This would also enable us to
quantify the discriminating power of the extended features through statistical analysis. This project contributes to the reduction of the crime laboratory backlog requests for processing latent prints by increasing the accuracy and speed with which those prints can be processed. nca/ncf