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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liwicki, M. Malik, M.I. Alewijnse, L. van den Heuvel, E. Found, B. |
| Copyright Year | 2012 |
| Abstract | 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 ($\widehat{C}_{llr}$). The system having the best Minimum Cost of Log Likelihood Ratio ($\widehat{C}^{min}_{llr}$) is declared winner. Various experiments both including and excluding disguised signatures from the test set are reported. |
| Starting Page | 823 |
| Ending Page | 828 |
| File Size | 203072 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467322621 |
| DOI | 10.1109/ICFHR.2012.217 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-18 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Forensics Forgery Feature extraction Educational institutions Accuracy Vectors Training likelihood ratios Disguised signature verification handwriting examiners evaluation standard forensic casework |
| Content Type | Text |
| Resource Type | Article |
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