Recognition of Urdu Handwritten Alphabet Using Convolutional Neural Network (CNN)

Author:

Ahmed Gulzar

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference35 articles.

1. Extraction of opinion target using syntactic rules in Urdu text;Rana;Intelligent Automation & Soft Computing (IASC,2021

2. Recognition of on-line Arabic handwritten characters using structural features;Al-Taani;Pattern Recognition,2010

3. Off-line handwritten character recognition using features extracted from binarization technique;Choudhary;AASRI Procedia,2013

4. Handwritten English character recognition using neural network;Anita;International Journal of Computer Science & Communication,2010

5. Top-rank: A novel unsupervised approach for topic prediction using keyphrase extraction for Urdu documents;Amin;IEEE Access,2020

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1. Urdu Cursive Word Recognition Using an Advanced Intelligent Model of Optimized Deep Learning;Advances in IT Personnel and Project Management;2024-05-16

2. Advancements in Offline Handwriting-Based Language Recognition: A Comprehensive Review for Indic Scripts;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

3. Automating the Evaluation of Urdu Handwriting for Novice Writers With Localized Feedback;IEEE Access;2024

4. Interpreting Doctor’s Handwritten Prescription Using Deep Learning Techniques;Inventive Systems and Control;2023

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