Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition

Jawad H. Alkhateeb; Aiman A. Turani; Abdul Rahman A. Alsewari

doi:10.1109/ETCCE51779.2020.9350863

Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition

Jawad H. Alkhateeb
, Aiman A. Turani
, Abdul Rahman A. Alsewari

Taibah University
Faculty of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (SciVal)

Original language	English
Title of host publication	ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665419628
DOIs	https://doi.org/10.1109/ETCCE51779.2020.9350863
Publication status	Published (VoR) - 21 Dec 2020
Event	2020 International Conference on Emerging Technology in Computing, Communication and Electronics, ETCCE 2020 - Virtual, Dhaka, Bangladesh Duration: 21 Dec 2020 → 22 Dec 2020

Publication series

Name	ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics

Conference

Conference	2020 International Conference on Emerging Technology in Computing, Communication and Electronics, ETCCE 2020
Country/Territory	Bangladesh
City	Virtual, Dhaka
Period	21/12/20 → 22/12/20

Keywords

ADBase database
AHCR dataset
ANN
Arabic handwritten text recognition
CNN Machine learning
Deep learning

Access to Document

10.1109/ETCCE51779.2020.9350863

Cite this

Alkhateeb, J. H., Turani, A. A., & Alsewari, A. R. A. (2020). Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition. In ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics Article 9350863 (ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETCCE51779.2020.9350863

Alkhateeb, Jawad H. ; Turani, Aiman A. ; Alsewari, Abdul Rahman A. / Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition. ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics. Institute of Electrical and Electronics Engineers Inc., 2020. (ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics).

@inproceedings{b4b9cf04cdd6492087838b9018701ff4,

title = "Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition",

keywords = "ADBase database, AHCR dataset, ANN, Arabic handwritten text recognition, CNN Machine learning, Deep learning",

author = "Alkhateeb, \{Jawad H.\} and Turani, \{Aiman A.\} and Alsewari, \{Abdul Rahman A.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference on Emerging Technology in Computing, Communication and Electronics, ETCCE 2020 ; Conference date: 21-12-2020 Through 22-12-2020",

year = "2020",

month = dec,

day = "21",

doi = "10.1109/ETCCE51779.2020.9350863",

language = "English",

series = "ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics",

}

Alkhateeb, JH, Turani, AA & Alsewari, ARA 2020, Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition. in ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics., 9350863, ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics, Institute of Electrical and Electronics Engineers Inc., 2020 International Conference on Emerging Technology in Computing, Communication and Electronics, ETCCE 2020, Virtual, Dhaka, Bangladesh, 21/12/20. https://doi.org/10.1109/ETCCE51779.2020.9350863

Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition. / Alkhateeb, Jawad H.; Turani, Aiman A.; Alsewari, Abdul Rahman A.
ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics. Institute of Electrical and Electronics Engineers Inc., 2020. 9350863 (ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition

AU - Alkhateeb, Jawad H.

AU - Turani, Aiman A.

AU - Alsewari, Abdul Rahman A.

PY - 2020/12/21

Y1 - 2020/12/21

KW - ADBase database

KW - AHCR dataset

KW - ANN

KW - Arabic handwritten text recognition

KW - CNN Machine learning

KW - Deep learning

UR - https://www.scopus.com/pages/publications/85102046951

UR - https://www.scopus.com/pages/publications/85102046951#tab=citedBy

U2 - 10.1109/ETCCE51779.2020.9350863

DO - 10.1109/ETCCE51779.2020.9350863

M3 - Conference contribution

AN - SCOPUS:85102046951

T3 - ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics

BT - ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 International Conference on Emerging Technology in Computing, Communication and Electronics, ETCCE 2020

Y2 - 21 December 2020 through 22 December 2020

ER -

Alkhateeb JH, Turani AA, Alsewari ARA. Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition. In ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics. Institute of Electrical and Electronics Engineers Inc. 2020. 9350863. (ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics). doi: 10.1109/ETCCE51779.2020.9350863

Performance of Machine Learning and Deep Learning on Arabic Handwritten Text Recognition

Publication series

Conference

Keywords

Access to Document

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