Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/341262
Title: User authentication using multimodal biometric techniques
Researcher: kumar Surender
Guide(s): Bathla R.K, Manro Rajan
Keywords: Computer Science engineering
Computer Science engineering
Engineering and Technology
University: Desh Bhagat University
Completed Date: 2020
Abstract: newline newline ABSTRACT newlineUser Authentication using Multimodal Biometric Techniques newlineBiometric system used for authentication provides high scale of security for different variety of applications as compared to conventional authentication mechanism (like pin, passwords etc.).Biometric system can apply to different field of our society in different application. These applications includes authentication for personal computer, attendance system in different organization, banking system and transactions, personal data protection, securing building access and airport security etc. The biometric system uses the physical and behavioral biometric traits of person for identification and verification. The thesis defines impact of biometric system in our todayand#8223;s life. Presently the recognition of user, single trait of biometric is used but it do not provide better authentication for highly secured application. To overcome these problems the Multimodal biometric systems is used. Multimodal biometric system includes physical and behavioral traits for user authentication for example, finger print and face, fingerprint and signature etc. Further, soft biometric traits are also used which includes skin color, age, height, hair color, eye color, gender etc. The soft biometric also have limitation i.e., lack of permanency and distinct behavior, while it can be used to improve the performance of biometric system with other traits. The thesis work is divided into three parts. In the first part a framework/algorithms designed in multimodal biometric system by fusing face and fingerprint biometric trait. newlineIn second part of the work algorithm is designed using iris and face traits with soft biometrics in the multimodal biometric system. Further, in the third part of the work the biometric performance is improved by using soft biometric traits and also liveness detection in face recognition is used and a comparison is made between existing techniques and the present work. newlineThe work present in the thesis improves the authentication, security and newlinepe
Pagination: 
URI: http://hdl.handle.net/10603/341262
Appears in Departments:Department of Engineering and Technology

Files in This Item:
File Description SizeFormat 
80_recommendation.pdfAttached File16.73 MBAdobe PDFView/Open
abstract.pdf101.6 kBAdobe PDFView/Open
acknowledgment.pdf11.13 kBAdobe PDFView/Open
bibliography.pdf385.47 kBAdobe PDFView/Open
certificate.pdf88.34 kBAdobe PDFView/Open
chapter 1.pdf1.28 MBAdobe PDFView/Open
chapter 2.pdf297.11 kBAdobe PDFView/Open
chapter 4.pdf545.82 kBAdobe PDFView/Open
chapter 5.pdf707.25 kBAdobe PDFView/Open
chapter 6.pdf400.13 kBAdobe PDFView/Open
chapter 7.pdf248.04 kBAdobe PDFView/Open
declaration.pdf87.26 kBAdobe PDFView/Open
front page.pdf10.47 kBAdobe PDFView/Open
list of abbreviations.pdf21.58 kBAdobe PDFView/Open
list of contents.pdf101.68 kBAdobe PDFView/Open
list of figures.pdf64.73 kBAdobe PDFView/Open
list of tables.pdf22.19 kBAdobe PDFView/Open
paper presented.pdf16.73 MBAdobe PDFView/Open
thesis outline.pdf7.76 kBAdobe PDFView/Open
Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: