Automatic Fingerprint Matching Using Extended Feature Set

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