ET-Network: A novel efficient transformer deep learning model for automated Urdu handwritten text recognition.
Article in PLOS ONE (May 2024)
The most recent citing publications are shown below. View all 43 publications that cite this research output on Dimensions.
Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units
Article in Information Processing & Management (January 2024)
Convolutional Matching Technique for Urdu Text Recognition
Conference proceeding (November 2023)