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[EAN: 9783848486878], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware -A biometric algorithm for personal recognition by identification or verification of the person from his/her Arabic handwriting is presented. The system is online and text-independent. Dynamic data pertaining to handwriting, such as pressure, altitude and azimuth is collected from the user during the writing process, and is used to train models for each writer, after which a recognition system is developed for implementation. The focus in this work is to achieve a high recognition rate with minimal requirements for data and processing time. Based on our experimental results , a system based on Gaussian mixture models (GMM) yields the best classification performance. A full system is developed with a MATLAB-based Graphical User Interface and the Wacom Intuos4 digitizer tablet. We have achieved a best identification rate of 96% for writer identification; whereas for verification, we have obtained an FAR of 4.26% and an FRR of 4.00 %. 92 pp. Englisch, Books<
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[EAN: 9783848486878], Neubuch, [PU: LAP Lambert Academic Publishing], INFORMATIK EDV, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A biometric algorithm for personal recognition by identification or verification of the person from his/her Arabic handwriting is presented. The system is onlin, Books<
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Lara Kanbar, Hasnaa Rabbat, Adam Aboudan: A Biometric Based on Online Text-Independent Arabic Handwriting: a Complete System Implementation in Matlab - Livro de bolso
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[EAN: 9783848486878], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware -A biometric algorithm for personal recognition by identification or verificatio… mais…
[EAN: 9783848486878], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware -A biometric algorithm for personal recognition by identification or verification of the person from his/her Arabic handwriting is presented. The system is online and text-independent. Dynamic data pertaining to handwriting, such as pressure, altitude and azimuth is collected from the user during the writing process, and is used to train models for each writer, after which a recognition system is developed for implementation. The focus in this work is to achieve a high recognition rate with minimal requirements for data and processing time. Based on our experimental results , a system based on Gaussian mixture models (GMM) yields the best classification performance. A full system is developed with a MATLAB-based Graphical User Interface and the Wacom Intuos4 digitizer tablet. We have achieved a best identification rate of 96% for writer identification; whereas for verification, we have obtained an FAR of 4.26% and an FRR of 4.00 %. 92 pp. Englisch, Books<
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[EAN: 9783848486878], Neubuch, [PU: LAP Lambert Academic Publishing], INFORMATIK EDV, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A bi… mais…
[EAN: 9783848486878], Neubuch, [PU: LAP Lambert Academic Publishing], INFORMATIK EDV, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A biometric algorithm for personal recognition by identification or verification of the person from his/her Arabic handwriting is presented. The system is onlin, Books<
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Lara Kanbar, Hasnaa Rabbat, Adam Aboudan: A Biometric Based on Online Text-Independent Arabic Handwriting: a Complete System Implementation in Matlab - Livro de bolso
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Paperback, Neubuch, BRAND NEW BOOK! Shipped within 24-48 hours. Normal delivery time is 5-12 days. Please note some orders may be shipped from UK with same delivery timeframe, ***NO EXPEDITED ORDERS***, [PU: LAP LAMBERT Academic Publishing]<
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A biometric algorithm for personal recognition by identification or verification of the person from his/her Arabic handwriting is presented. The system is online and text-independent. Dynamic data pertaining to handwriting, such as pressure, altitude and azimuth is collected from the user during the writing process, and is used to train models for each writer, after which a recognition system is developed for implementation. The focus in this work is to achieve a high recognition rate with minimal requirements for data and processing time. Based on our experimental results , a system based on Gaussian mixture models (GMM) yields the best classification performance. A full system is developed with a MATLAB-based Graphical User Interface and the Wacom Intuos4 digitizer tablet. We have achieved a best identification rate of 96% for writer identification; whereas for verification, we have obtained an FAR of 4.26% and an FRR of 4.00 %.
Dados detalhados do livro - A Biometric Based on Online Text-Independent Arabic Handwriting: A Complete System Implementation in MATLAB
EAN (ISBN-13): 9783848486878 ISBN (ISBN-10): 3848486873 Livro de capa dura Livro de bolso Ano de publicação: 2012 Editor/Editora: LAP LAMBERT Academic Publishing
Livro na base de dados desde 2009-02-23T07:14:37-03:00 (Sao Paulo) Página de detalhes modificada pela última vez em 2022-09-08T10:58:00-03:00 (Sao Paulo) Número ISBN/EAN: 3848486873
Número ISBN - Ortografia alternativa: 3-8484-8687-3, 978-3-8484-8687-8 Ortografia alternativa e termos de pesquisa relacionados: Autor do livro: adam Título do livro: handwriting, arabic texts, complete arabic, matlab, independent independent