TDA-ViT: A Transformer-Based Framework for Unified Urdu Text Recognition via Topological and Visual Feature Fusion

Urdu text recognition is challenging due to its cursive nature, complex ligatures, variable diacritics, and diverse writing styles. Existing methods often target either printed or handwritten text separately and rely only on raw pixel features, which limits robustness. We propose a unified end-to-en...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Shahbaz Hassan, Ahmad Raza Shahid, Muhammad Asif Naeem
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Urdu text recognition topological data analysis (TDA) unified Urdu text recognition vision transformer (ViT)
Online Access:	https://ieeexplore.ieee.org/document/11202936/