Complementary approaches built as web service for arabic handwriting OCR systems via amazon Elatic Map Reduce (EMR) Model
المؤلفون المشاركون
Zaydan, Ayshah
Khemakhem, Mahir
Hamdi, Hasan
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 15، العدد 3 (31 مايو/أيار 2018)10ص.
الناشر
تاريخ النشر
2018-05-31
دولة النشر
الأردن
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Arabic Optical Character Recognition (OCR) as Web Services represents a major challenge for handwritten document recognition.
A variety of approaches, methods, algorithms and techniques have been proposed in order to build powerful Arabic OCR web services.
Unfortunately, these methods could not succeed in achieving this mission in case of large large quantity Arabic handwritten documents.
Intensive experiments and observations revealed that some of the existing approaches and techniques are complementary and can be combined to improve the recognition rate.
Designing and implementing these recent sophisticated complementary approaches and techniques as web services are commonly complex; they require strong computing power to reach an acceptable recognition speed especially in case of large quantity documents.
One of the possible solutions to overcome this problem is to benefit from distributed computing architectures such as cloud computing.
This paper describes the design and implementation of Arabic Handwriting Recognition as a web service (AHRweb service) based on the complementary approach K-Nearest Neighbor (KNN) /Support Vector Machine (SVM) (K-NN/SVM) via Amazon Elastic MapReduce (EMR) model.
The experiments were conducted on a cloud computing environment with a real large scale handwriting dataset from the Institute for Communications Technology (IFN)/ Ecole Nationale d’Ingénieur de Tunis (ENIT) IFN/ENIT database.
The J-Sim (Java Simulator) was used as a tool to generate and analyze statistical results.
Experimental results show that Amazon Elastic MapReduce (EMR) model constitutes a very promising framework for enhancing large AHRweb service performances.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hamdi, Hasan& Khemakhem, Mahir& Zaydan, Ayshah. 2018. Complementary approaches built as web service for arabic handwriting OCR systems via amazon Elatic Map Reduce (EMR) Model. The International Arab Journal of Information Technology،Vol. 15, no. 3.
https://search.emarefa.net/detail/BIM-839243
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hamdi, Hasan…[et al.]. Complementary approaches built as web service for arabic handwriting OCR systems via amazon Elatic Map Reduce (EMR) Model. The International Arab Journal of Information Technology Vol. 15, no. 3 (May. 2018).
https://search.emarefa.net/detail/BIM-839243
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hamdi, Hasan& Khemakhem, Mahir& Zaydan, Ayshah. Complementary approaches built as web service for arabic handwriting OCR systems via amazon Elatic Map Reduce (EMR) Model. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 3.
https://search.emarefa.net/detail/BIM-839243
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-839243
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