ICFHR 2012 Competition on Automatic Forensic Signature Verification (4NsigComp 2012)

This paper presents the results of the ICFHR2012 Competition on Automatic Forensic Signature Verification jointly organized by PR-researchers and Forensic Handwriting Examiners (FHEs). The aim is to bridge the gap between recent technological developments and forensic casework. A forensic like training set containing disguised signatures along with skilled forgeries and genuine signatures was provided to the participants. They were motivated to report the results in Likelihood Ratios (LR). This has made the systems even more interesting for application in forensic casework. For evaluation we used both the traditional Equal Error Rate (EER) and forensically substantial Cost of Log Likelihood Ratios (Ĉ_llr). The system having the best Minimum Cost of Log Likelihood Ratio ( Ĉ_llr^min) is declared winner. Various experiments both including and excluding disguised signatures from the test set are reported.