Date of Award
Computer and Information Science
James Adam Jones
Statistical and machine learning approaches to forgery detection in offline sig- natures are attempted and evaluated. Offline signatures are static signatures found on physical media, mainly a piece of paper. A dataset of 330 signatures for 33 people is used, containing five genuine and five forged signatures for each person. The statistical analysis approach proves more successful than a machine learning approach, likely due to the size of the dataset.
Lauriello, Jennifer, "Methods to Detect Forgeries in Static Signatures" (2020). Honors Theses. 1318.
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