Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/481729
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dc.coverage.spatialIntelligent classification techniques for face recognition using deep learning algorithms from hyper spectral images
dc.date.accessioned2023-05-08T11:46:56Z-
dc.date.available2023-05-08T11:46:56Z-
dc.identifier.urihttp://hdl.handle.net/10603/481729-
dc.description.abstractFace recognition is an important task in the recent years due to the introduction of automation in many real-life applications. In the examination system, face recognition is necessary to identify the genuineness of candidates. In airport application, the persons with fake passport can be identified by the use of FR systems. It has many other applications such as military, home security, FR based hospital information systems, banking and reservation systems. With regard to gain a larger size of the facial datasets, it is necessary to explore the use of Hyper Spectral Imaging (HSI) techniques on facial datasets. The hyper spectral imaging techniques provide improved face recognition accuracy by acquiring added biometric features like spectral features. However, as the number of faces to be tested rises, the efficacy of 2-Dimensional image-based methods decreases because of the shrinkage in the inter-object space in the facial recognition domain. In this condition, the hyper spectral imaging technique must be used to improve the efficacy owing to the vast size of features. Hence, it is necessary to apply Artificial Intelligence (AI) algorithms such as Machine Learning (ML) with HSI to perform the task of face recognition more accurately. newlineRecently, the Convolutional Neural Network (CNN), Recursive Neural Networks (RNN) and vision transforms are identified as the appropriate techniques for performing the computer vision including the face recognition, image and video analytics. The different types of tasks like image classification, objects detection process, and face recognition tasks that are aided from the CNN. newline
dc.format.extentxvi,149p.
dc.languageEnglish
dc.relationp.135-148
dc.rightsuniversity
dc.titleIntelligent classification techniques for face recognition using deep learning algorithms from hyper spectral images
dc.title.alternative
dc.creator.researcherAshok Kumar Rai
dc.subject.keywordHyper Spectral Imaging
dc.subject.keywordConvolutional Neural Network
dc.subject.keywordGrey-Wolf Optimization
dc.description.note
dc.contributor.guideRadha Senthilkumar
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.42 kBAdobe PDFView/Open
02_prelimpages.pdf479.54 kBAdobe PDFView/Open
03_contents.pdf229.31 kBAdobe PDFView/Open
04_abstracts.pdf226.79 kBAdobe PDFView/Open
05_chapter1.pdf415.32 kBAdobe PDFView/Open
06_chapter2.pdf436.98 kBAdobe PDFView/Open
07_chapter3.pdf412.03 kBAdobe PDFView/Open
08_chapter4.pdf985.32 kBAdobe PDFView/Open
09_chapter5.pdf874.99 kBAdobe PDFView/Open
10_chapter6.pdf921.67 kBAdobe PDFView/Open
11_annexures.pdf202.13 kBAdobe PDFView/Open
80_recommendation.pdf156.24 kBAdobe PDFView/Open


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