A client-entropy measure for on-line signatures
| العنوان: | A client-entropy measure for on-line signatures |
|---|---|
| المؤلفون: | S.G. Salicetti, Bernadette Dorizzi, N. Houmani |
| المساهمون: | Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP) |
| المصدر: | Proceedings BSYM 2008 : Biometrics Symposium BSYM 2008 : Biometrics Symposium BSYM 2008 : Biometrics Symposium, Sep 2008, Tampa, United States. pp.83-88, ⟨10.1109/BSYM.2008.4655527⟩ |
| بيانات النشر: | HAL CCSD, 2008. |
| سنة النشر: | 2008 |
| مصطلحات موضوعية: | Computational complexity theory, business.industry, Entropy, Pattern recognition, Density estimation, Complexity, computer.software_genre, On-line signature, Categorization, Handwriting recognition, Entropy (information theory), Signature categorization, Data mining, Artificial intelligence, Mobile telephony, Variability, business, Hidden Markov model, Random variable, computer, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Mathematics |
| الوصف: | International audience; In this article, we propose an original way to characterize information content in Online Signatures through a client-entropy measure based on local density estimation by a Hidden Markov Model. We show that this measure can be used to categorize signatures in visually coherent classes that can be related to complexity and variability criteria. Besides, the generated categories are coherent across four different databases: BIOMET, MCYT-100, BioSecure data subsets DS2 and DS3. This measure allows a comparison of databases in terms of clients signatures according to their information content |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8fe1b9868a66e10a81dec0c161951ee https://hal.archives-ouvertes.fr/hal-01374026 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....c8fe1b9868a66e10a81dec0c161951ee |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |