Static and dynamic features for writer identification based on multi-fractals
المؤلفون المشاركون
Shabuni, Ayman
Bu Bakr, Husayn
Khayr Allah, Munji
al-Abd, Haykal
Ulaymi, Adil
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 11، العدد 4 (31 يوليو/تموز 2014)9ص.
الناشر
تاريخ النشر
2014-07-31
دولة النشر
الأردن
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
Writer identification still remains as a challenge area in the field of off-line handwriting recognition because only an image of the handwriting is available.
Consequently, some information on the dynamic of writing, which is valuable for identification of writer, is unavailable in the off-line approaches, contrary to the on-line ones where temporal and spatial information about the writing are available.
In this paper we present a new method for writer identification based on Multifractal features for both types of presented approaches.
This method consists to extract the multi-fractal dimensions from the images of words and their on-line signals.
In order to enhance the performance of our writer identification system, we have combined both on-line and off-line approaches.
In this way, our work consists to take advantage of static and dynamic representations of handwriting, in order to identify the writer in realistic conditions.
The tests are performed on the writing of 110 writers from the ADAB database.
The obtained results show the effectiveness of the proposed writer identification method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shabuni, Ayman& Bu Bakr, Husayn& Khayr Allah, Munji& al-Abd, Haykal& Ulaymi, Adil. 2014. Static and dynamic features for writer identification based on multi-fractals. The International Arab Journal of Information Technology،Vol. 11, no. 4.
https://search.emarefa.net/detail/BIM-334368
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shabuni, Ayman…[et al.]. Static and dynamic features for writer identification based on multi-fractals. The International Arab Journal of Information Technology Vol. 11, no. 4 (Jul. 2014).
https://search.emarefa.net/detail/BIM-334368
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shabuni, Ayman& Bu Bakr, Husayn& Khayr Allah, Munji& al-Abd, Haykal& Ulaymi, Adil. Static and dynamic features for writer identification based on multi-fractals. The International Arab Journal of Information Technology. 2014. Vol. 11, no. 4.
https://search.emarefa.net/detail/BIM-334368
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-334368
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر