Analysis of Hyperspectral Data to Develop an Approach for Document Images Article Swipe
Zainab Zaman
,
Saad Bin Ahmed
,
Muhammad Imran Malik
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23156845
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23156845
Hyperspectral data analysis is being utilized as an effective and compelling tool for image processing, providing unprecedented levels of information and insights for various applications. In this manuscript, we have compiled and presented a comprehensive overview of recent advances in hyperspectral data analysis that can provide assistance for the development of customized techniques for hyperspectral document images. We review the fundamental concepts of hyperspectral imaging, discuss various techniques for data acquisition, and examine state-of-the-art approaches to the preprocessing, feature extraction, and classification of hyperspectral data by taking into consideration the complexities of document images. We also explore the possibility of utilizing hyperspectral imaging for addressing critical challenges in document analysis, including document forgery, ink age estimation, and text extraction from degraded or damaged documents. Finally, we discuss the current limitations of hyperspectral imaging and identify future research directions in this rapidly evolving field. Our review provides a valuable resource for researchers and practitioners working on document image processing and highlights the potential of hyperspectral imaging for addressing complex challenges in this domain.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/s23156845
- https://www.mdpi.com/1424-8220/23/15/6845/pdf?version=1690885355
- OA Status
- gold
- Cited By
- 25
- References
- 111
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385446408
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385446408Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/s23156845Digital Object Identifier
- Title
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Analysis of Hyperspectral Data to Develop an Approach for Document ImagesWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-01Full publication date if available
- Authors
-
Zainab Zaman, Saad Bin Ahmed, Muhammad Imran MalikList of authors in order
- Landing page
-
https://doi.org/10.3390/s23156845Publisher landing page
- PDF URL
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https://www.mdpi.com/1424-8220/23/15/6845/pdf?version=1690885355Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/1424-8220/23/15/6845/pdf?version=1690885355Direct OA link when available
- Concepts
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Hyperspectral imaging, Preprocessor, Computer science, Data pre-processing, Data science, Field (mathematics), Feature extraction, Image processing, Data mining, Artificial intelligence, Information retrieval, Pattern recognition (psychology), Image (mathematics), Mathematics, Pure mathematicsTop concepts (fields/topics) attached by OpenAlex
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25Total citation count in OpenAlex
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2025: 11, 2024: 13, 2023: 1Per-year citation counts (last 5 years)
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111Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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