Handwritten Character Recognition Based on the Specificity and the Singularity of the Arabic Language
A good Arabic handwritten recognition system must consider the characteristics of Arabic letters which can be explicit such as the presence of diacritics or implicit such as the baseline information (a virtual line on which cursive text are aligned and/join). In order to find an adequate method of f...
Main Authors: | Youssef Boulid, Abdelghani Souhar, Mohamed Elyoussfi Elkettani |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidad Internacional de La Rioja (UNIR)
2017-08-01
|
Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
Subjects: | |
Online Access: | http://www.ijimai.org/journal/node/1515 |
Similar Items
-
Multi-agent Systems for Arabic Handwriting Recognition
by: Youssef Boulid, et al.
Published: (2017-12-01) -
Spatial and Textural Aspects for Arabic Handwritten Characters Recognition
by: Youssef Boulid, et al.
Published: (2018-06-01) -
Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform
by: Abdelghani Souhar, et al.
Published: (2017-12-01) -
Handwritten Arabic Documents Segmentation into Text Lines using Seam Carving
by: M. Daldali, et al.
Published: (2019-06-01) -
Word based off-line handwritten Arabic classification and recognition. Design of automatic recognition system for large vocabulary offline handwritten Arabic words using machine learning approaches.
by: AlKhateeb, Jawad H.Y.
Published: (2010)