Moftah Elzobi

Orcid: 0000-0003-4074-6440

According to our database1, Moftah Elzobi authored at least 12 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2018
Generative vs. Discriminative Recognition Models for Off-Line Arabic Handwriting.
Sensors, 2018

2017
Unconstrained recognition of offline Arabic handwriting using generative and discriminative classification models.
PhD thesis, 2017

Automatic recognition of common Arabic handwritten words based on OCR and N-GRAMS.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research.
Sensors, 2016

2015
CRFs and HCRFs Based Recognition for Off-Line Arabic Handwriting.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

2014
Frame-Based Facial Expression Recognition Using Geometrical Features.
Adv. Hum. Comput. Interact., 2014

2013
IESK-ArDB: a database for handwritten Arabic and an optimized topological segmentation approach.
Int. J. Document Anal. Recognit., 2013

Gabor Wavelet Recognition Approach for Off-Line Handwritten Arabic Using Explicit Segmentation.
Proceedings of the Image Processing and Communications Challenges 5, 2013

A Hidden Markov Model-Based Approach with an Adaptive Threshold Model for Off-Line Arabic Handwriting Recognition.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

An Approach for Arabic Handwriting Synthesis Based on Active Shape Models.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

A Locale Group Based Line Segmentation Approach for Non Uniform Skewed and Curved Arabic Handwritings.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

2011
Synthizing Handwritten Arabic Text Using Active Shape Models.
Proceedings of the Image Processing and Communications Challenges 3, 2011


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