Application of soft computing techniques in machine reading of Quranic Kufic manuscripts
Research work in the field of offline Arabic handwriting recognition has seen an exponential growth during past decades. Despite much work dedicated to the recognition of handwritten Arabic text, there remains a lot to achieve in this regard. Though there exists a lot of work that is confined to the...
Saved in:
| Main Authors: | Aasim Zafar, Arshad Iqbal |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-06-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157820303529 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lightweight Deepfake Detection Based on Multi-Feature Fusion
by: Siddiqui Muhammad Yasir, et al.
Published: (2025-02-01) -
Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques
by: Mustafa Basthikodi, et al.
Published: (2024-10-01) -
Reservoir Fluid Identification Method Based on Multi-Feature Fusion
by: JIANG Guoqiang, et al.
Published: (2024-12-01) -
Analysis of Konya Karatay Madrasah Knotted Kufic Sash Script in terms of Calligraphy and Knot Properties
by: Berrin Yapar Ünal, et al.
Published: (2024-08-01) -
A novel deep learning approach for predicting stone-free rates post-ESWL on uncontrasted CT
by: Ozgur Efiloglu, et al.
Published: (2025-08-01)