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http://hdl.handle.net/10553/44014
| Title: | Using calligraphies features for off line writer identification | Authors: | Vásquez, José L. Travieso, Carlos M. Alonso, Jesús B. |
UNESCO Clasification: | 3307 Tecnología electrónica | Keywords: | Writing , Feature extraction , Training , Forensics , Databases , Support vector machines , Educational institutions, Writer Identification , Off-line Handwriting , Graphology Techniques , SVM , Biometrics , Patter Recognition | Issue Date: | 2013 | Publisher: | 1071-6572 | Journal: | Proceedings - International Carnahan Conference on Security Technology | Conference: | 2013 47th International Carnahan Conference on Security Technology, ICCST 2013 | Abstract: | This work proposes an off-line writer identification approach based on graphometrical and forensic features. We selected a set of features with independence of the text and some stability degree to natural changes in the writing. The system uses the LS-SVM classifier with RBF kernel, reaching up to 99.1% of success rate for an own database composed by 100 users with 10 samples per each one | URI: | http://hdl.handle.net/10553/44014 | ISBN: | 9781479908899 | ISSN: | 1071-6572 | DOI: | 10.1109/CCST.2013.6922062 | Source: | Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (6922062) |
| Appears in Collections: | Actas de congresos |
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