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TILPDeep: A Lightweight Deep Learning Technique for Handwritten Transformed Invariant Pashto Text Recognition

https://doi.org/10.1109/access.2023.3248508

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What this work says

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Sociolinguistic survey of northern Pakistan . 5 vols. Series edited by Clare F. O’Leary Islamabad: National Institute of Pakistan Studies and Summer Institute of Linguistics, 1992. $50.00 for set. - Vol. 1, Languages of Kohistan . Edited by Calvin R. Rensch, Sandra J. Decker and Daniel G. Hallberg…

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Online Urdu Handwriting Recognition System Using Geometric Invariant Features

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Handwritten Text Recognition Using Deep Learning:A Comprehensive Review

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An Automated Method for Constructing a Handwriting Recognition Corpus for Low-Resource Scripts from Copybooks and Handwriting Notebooks

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LeanConv-SENet: A novel lightweight Neural Network Architecture for Handwritten character recognition

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Breaking Through Language Barriers: A Review of OCR Technology for Low-Resource Minority Languages Based on Deep Learning

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Pashto Handwritten Invariant Character Trajectory Prediction Using a Customized Deep Learning Technique

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Handwritten Recognition Techniques: A Comprehensive Review

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Deep learning-based recognition system for pashto handwritten text: benchmark on PHTI

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