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GRAWIS: GRONINGEN AUTOMATIC WRITER IDENTIFICATION SYSTEM
| Content Provider | CiteSeerX |
|---|---|
| Author | Bulacu, Marius Schomaker, Lambert |
| Abstract | In the last several years, we developed new and very effective techniques for automatic writer identification that use probability distribution functions extracted the handwriting images to characterize writer individuality. The demonstration will present a html-based visualization tool that we recently built in order to be able to directly see and assess the results generated by our writer identification and verification software. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Groningen Automatic Writer Identification System Html-based Visualization Tool Effective Technique Writer Individuality Verification Software Writer Identification Probability Distribution Function Automatic Writer Identification Handwriting Image Last Several Year |
| Content Type | Text |