Endmember Analysis of Overlapping Handwritten Text in Hyperspectral Document Images-Reference-Cited by-同舟云学术

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Endmember Analysis of Overlapping Handwritten Text in Hyperspectral Document Images

Published:2024 Issue: Volume:12 Page:13010-13019
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mirza Hasan Irtaza¹^ORCID,Ahmed Saad Bin²,Solis-Oba Roberto³,Malik Muhammad Imran¹^ORCID

Affiliation:

1. School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan

2. Department of Computer Science, Faculty of Science and Environmental Studies, Lakehead University, Thunder Bay, Canada

3. Department of Computer Science, Middlesex College, University of Western Ontario, London, Canada

Funder

Centre for Advanced Studies in Engineering and Sciences, Lakehead University

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10381605.pdf?arnumber=10381605

Reference30 articles.

1. Signature Segmentation from Machine Printed Documents Using Conditional Random Field

2. Signature segmentation and recognition from scanned documents

3. MvSSIM: A quality assessment index for hyperspectral images

4. Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

5. A Typed and Handwritten Text Block Segmentation System for Heterogeneous and Complex Documents

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