The algorithm then assesses the likelihood that a given fingerprint is a duplicate by comparing it to a database of existing fingerprints.

We suggest a one-dimensional jump-detection algorithm based on local polynomial fitting for jumps in regression functions (zero-order jumps) or jumps in derivatives (first-order or higher-order jumps) ...