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|Title:||Biometrics identification system||Authors:||Wong, Fu Qiang.||Keywords:||DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision||Issue Date:||2013||Abstract:||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.||URI:||http://hdl.handle.net/10356/52273||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Student Reports (FYP/IA/PA/PI)|
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Updated on Nov 29, 2020
Updated on Nov 29, 2020
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