Open Access iconOpen Access

ARTICLE

crossmark

Convolutional Neural Network Based Intelligent Handwritten Document Recognition

Sagheer Abbas1, Yousef Alhwaiti2, Areej Fatima3, Muhammad A. Khan4, Muhammad Adnan Khan5,*, Taher M. Ghazal6,7, Asma Kanwal1,8, Munir Ahmad1, Nouh Sabri Elmitwally2,9

1 School of Computer Science, National College of Business administration and Economics, Lahore, 54000, Pakistan
2 College of Computer and Information Sciences, Jouf University, Sakaka, 72341, Saudi Arabia
3 Department of Computer Science, Lahore Garrison University, Lahore, 54000, Pakistan
4 Riphah School of Computing & Innovation, Faculty of Computing, Riphah International University, Lahore Campus, Lahore, 54000, Pakistan
5 Pattern Recognition and Machine Learning Lab, Department of Software, Gachon University, Seongnam, 13557, Korea
6 Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia
7 School of Information Technology, Skyline University College, University City Sharjah, 1797, Sharjah, UAE
8 Department of Computer Science, GC University, Lahore, Pakistan
9 Department of Computer Science, Faculty of Computers and Artificial Intelligence, Cairo University, 12613, Egypt

* Corresponding Author: Muhammad Adnan Khan. Email: email

TSP_CMC_21102.pdf

  • 3033

    View

  • 2065

    Download

  • 0

    Like

Share Link