Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/308147
Title: Automatic framework for efficient pose invariant face recognition using 2d pose normalization
Researcher: Kavitha J
Guide(s): Mirnalinee T T
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
2d pose
face recognition
University: Anna University
Completed Date: 2019
Abstract: In recent years, Biometrics has made a significant impact on society. Biometric-based verification, authentication is gaining immense popularity in the digital world, since it is helping people to get rid of the possession of the traditional identity such as ID cards, documents, tokens, PINs, Passwords and enabling the person to use their unique physiological or behavioural characteristics. Today, the biometric applications are used across institutions, industries, government establishments and in many business outfits. Biometric modalities can be classified into three categories such as Physiological (fingerprints, hand geometry, facial recognition, retina, DNA etc.), Behavioral (signatures, typing rhythm, gait etc.) and a combination of these two (voice). Deploying a biometric modality depends on the authentication or identification application. In recent days, a popular biometric physiological modality of facial structure is used for various applications of authentication and identification of individuals in an indoor, outdoor surveillance, public monitoring environments such as airport terminals, railway stations, bus terminals, commercial areas etc., because of its unique advantages compared to the other biometric traits. Face recognition technology is widely preferred in various applications because of its non-intrusive, non-contact nature and high level of acceptability. Despite rapid development in this technology, satisfactory recognition accuracy is achieved for the faces captured in the controlled, semi-controlled environment with constrained settings because the faces are captured with the user cooperation newline
Pagination: xxv, 157p.
URI: http://hdl.handle.net/10603/308147
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File22.88 kBAdobe PDFView/Open
02_certificates.pdf863.54 kBAdobe PDFView/Open
03_abstracts.pdf44.28 kBAdobe PDFView/Open
04_acknowledgements.pdf4.55 kBAdobe PDFView/Open
05_contents.pdf58.1 kBAdobe PDFView/Open
06_listofabbreviations.pdf40.78 kBAdobe PDFView/Open
07_chapter1.pdf458.27 kBAdobe PDFView/Open
08_chapter2.pdf90.69 kBAdobe PDFView/Open
09_chapter3.pdf147.22 kBAdobe PDFView/Open
10_chapter4.pdf459.75 kBAdobe PDFView/Open
11_chapter5.pdf552.26 kBAdobe PDFView/Open
12_chapter6.pdf588.21 kBAdobe PDFView/Open
13_chapter7.pdf343.78 kBAdobe PDFView/Open
14_chapter8.pdf19.16 kBAdobe PDFView/Open
15_conclusion.pdf110.79 kBAdobe PDFView/Open
16_references.pdf55.29 kBAdobe PDFView/Open
17_listofpublications.pdf14.8 kBAdobe PDFView/Open
80_recommendation.pdf101.26 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: