Biometrics identification system

For most system, their security relies on authentication methods that use information or token such as password, keys or cards to authorize their users’ access. While these methods are generally sufficient, unauthorized users can gain access once they acquire the required information or token. This...

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Main Author: Wong, Fu Qiang.
Other Authors: Li Fang
Format: Final Year Project
Language:English
Published: 2013
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Online Access:http://hdl.handle.net/10356/52273
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-522732023-03-03T20:29:24Z Biometrics identification system Wong, Fu Qiang. Li Fang School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision For most system, their security relies on authentication methods that use information or token such as password, keys or cards to authorize their users’ access. While these methods are generally sufficient, unauthorized users can gain access once they acquire the required information or token. This issue raised a demand for a more reliable security system to safeguard sensitive information. Biometrics identification refers to the automatic recognition of a person through his/her physiological or behavioural traits such as face, fingerprint, DNA and palm print. This authentication method has been attracting attention in recent years as it addressed the issue mentioned above, allowing only the authorized user access in most cases. This system applies methods for identification using hand vein patterns and palm print as biometric features. The identification system consists of five modules: image acquisition, image processing, feature extraction, data retrieval and identification. The feature mentioned refers to the lines within an area of the palm that will be considered for identification purposes. Images of veins are acquired specific devices, producing near infrared (NIR) and far infrared (FIR) images. Images of palm print can be acquired using any image capturing device. Details of the image requirements and the modules mentioned are explained in this report. This system was developed approximately 10 years ago, and has been made robust and efficient over the years. As the system was developed using C++, a need to convert the system to an object-oriented programming language to aid further progress is recognised. In this project, the system is converted into C# language. This report aims to provide the required knowledge to assist in further development of the system. Bachelor of Engineering (Computer Science) 2013-04-29T01:49:15Z 2013-04-29T01:49:15Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/52273 en Nanyang Technological University 70 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Wong, Fu Qiang.
Biometrics identification system
description For most system, their security relies on authentication methods that use information or token such as password, keys or cards to authorize their users’ access. While these methods are generally sufficient, unauthorized users can gain access once they acquire the required information or token. This issue raised a demand for a more reliable security system to safeguard sensitive information. Biometrics identification refers to the automatic recognition of a person through his/her physiological or behavioural traits such as face, fingerprint, DNA and palm print. This authentication method has been attracting attention in recent years as it addressed the issue mentioned above, allowing only the authorized user access in most cases. This system applies methods for identification using hand vein patterns and palm print as biometric features. The identification system consists of five modules: image acquisition, image processing, feature extraction, data retrieval and identification. The feature mentioned refers to the lines within an area of the palm that will be considered for identification purposes. Images of veins are acquired specific devices, producing near infrared (NIR) and far infrared (FIR) images. Images of palm print can be acquired using any image capturing device. Details of the image requirements and the modules mentioned are explained in this report. This system was developed approximately 10 years ago, and has been made robust and efficient over the years. As the system was developed using C++, a need to convert the system to an object-oriented programming language to aid further progress is recognised. In this project, the system is converted into C# language. This report aims to provide the required knowledge to assist in further development of the system.
author2 Li Fang
author_facet Li Fang
Wong, Fu Qiang.
format Final Year Project
author Wong, Fu Qiang.
author_sort Wong, Fu Qiang.
title Biometrics identification system
title_short Biometrics identification system
title_full Biometrics identification system
title_fullStr Biometrics identification system
title_full_unstemmed Biometrics identification system
title_sort biometrics identification system
publishDate 2013
url http://hdl.handle.net/10356/52273
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