Faculty of Computing and Information Technology | Researches | Using Contour-Based Features for Segmenting and Recognizing Handwritten Arabic Words in Off-Line Systems

Faculty of Computing and Information Technology

Document Details

Document Type	:	Article In Journal
Document Title	:	Using Contour-Based Features for Segmenting and Recognizing Handwritten Arabic Words in Off-Line Systems استخدام الصفات المميزة المعتمدة على الحدود لتقسيم والتعرف على الكلمات العربية المكتوبة بخط اليد في النظم الغير متصلة
Subject	:	Segmenting and Recognizing Handwritten Arabic Words
Document Language	:	Arabic
Abstract	:	This research papers gives a new technique for segmenting and recognizing handwritten Arabic words by using contour-based features.
ISSN	:	652491
Journal Name	:	Journal of Engineering and Applied Science
Volume	:	46
Issue Number	:	2
Publishing Year	:	1419 AH 1999 AD
Article Type	:	Article
Added Date	:	Sunday, March 20, 2011

Researchers

Researcher Name (Arabic)	Researcher Name (English)	Researcher Type	Dr Grade	Email
كمال جمبي	Jambi, Kamal	Researcher	Doctorate	kjambi@kau.edu.sa

Files

File Name	Type	Description
29331.docx	docx

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