P R E S S  (Program for Rate Estimation and Statistical Summaries):

PRESS is a tool to help researchers to analyze data collected on biometric authentication devices. It has been created through generous funding from the Center for Identification Techology Research (CITeR) and from St. Lawrence University. PRESS is designed to simplify the analysis of bio-authentication data by making it easy for the user to create many of the basic statistical summaries in common usage. These include: confidence intervals, genuine vs. imposter histograms, and ROC curves. In addition PRESS has a tool for determining the number of individuals that need to be tested under certain specified conditions. PRESS handles data either in text or Excel format. It has been designed by Dr. Michael Schuckers (St. Lawrence University) and coded by Nona Mramba (University of Maryland) and C. J. Knickerbocker (St. Lawrence University). The version presented here is a free research version and no support other than the documentation provided below is available to non-CITeR members. CITeR members receive free upgrades and advance copies of PRESS.