A Conformable Moments-Based Deep Learning System for Forged Handwriting Detection-Reference-Cited by-同舟云学术

A Conformable Moments-Based Deep Learning System for Forged Handwriting Detection

Published:2022 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Nandanwar Lokesh¹,Shivakumara Palaiahnakote¹^ORCID,Jalab Hamid A.¹^ORCID,Ibrahim Rabha W.²,Raghavendra Ramachandra³^ORCID,Pal Umapada⁴^ORCID,Lu Tong⁵^ORCID,Blumenstein Michael⁶^ORCID

Affiliation:

1. Department of Computer System and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

2. Department of Mathematical Sciences, University of Malaya, Kuala Lumpur, Malaysia

3. Faculty of Information Technology and Electrical Engineering, IIK, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

4. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

5. National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

6. School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia

Funder

Ministry of Higher Education of Malaysia for the Generous Grant Fundamental Research Grant Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09899402.pdf?arnumber=9899402

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