WAYVision: A hybrid deep learning approach for recognizing handwritten Kannada Braille using wavelet transformation and attention based YOLOv5
Handwritten Braille character recognition presents a significant challenge in the field of assistive technology, especially with the inclusion of various linguistic scripts such as Kannada. The data set is uniquely curated, combining ground-truth data from Kaggle and real-world samples collected fro...
Saved in:
| Main Authors: | Bipin Nair B J, Niranjan, Saketh P, Shobha Rani N |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125002869 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning
by: K. S. Koushik, et al.
Published: (2025-01-01) -
HCCD: A handwritten camera-captured dataset for document enhancement under varied degradation conditionsMendeley Data
by: K.S. Koushik, et al.
Published: (2025-08-01) -
Detection of Hijaiyah Letters Handwritten in Early Childhood Using Yolov8
by: Hidayatul Mustagfiroh, et al.
Published: (2025-07-01) -
Braille Character Recognition System: Review
by: Rusul Hasan, et al.
Published: (2024-06-01) -
Comparative Study of Hybrid Deep Learning Models for Kannada Sign Language Recognition
by: Gurusiddappa Hugar, et al.
Published: (2025-07-01)