Facial recognition in the heterogeneous range of angle using Speeded-Up Robust Features (SURF) / Nur Syafiqah Liyana Romely

Biometric system is a technique to identify a person by using their own body characteristics. It acts as identification and access control in computer science. There are two types of biometric identifiers, which are physiological identifier and behavioural identifier. This research identifier is bas...

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主要作者:	Romely, Nur Syafiqah Liyana
格式:	Thesis
語言:	English
出版:	2017
主題:	Instruments and machines Computer software Application program interfaces Software measurement Neural networks (Computer science) Database management
在線閱讀:	https://ir.uitm.edu.my/id/eprint/69258/1/69258.pdf
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id	my-uitm-ir.69258
record_format	uketd_dc
spelling	my-uitm-ir.692582022-10-27T05:04:12Z Facial recognition in the heterogeneous range of angle using Speeded-Up Robust Features (SURF) / Nur Syafiqah Liyana Romely 2017-01 Romely, Nur Syafiqah Liyana Instruments and machines Electronic Computers. Computer Science Programming. Rule-based programming. Backtrack programming Computer software Application program interfaces Software measurement Neural networks (Computer science) Database management Biometric system is a technique to identify a person by using their own body characteristics. It acts as identification and access control in computer science. There are two types of biometric identifiers, which are physiological identifier and behavioural identifier. This research identifier is based on physiological characteristic that are related to the shape of the body and is one of biometric system that has higher success as an identifier that is facial recognition. Over the decades, facial recognition has been broadly explored, but there is still room for improvement since the focus of the earlier approach is more on frontal facial images and non- ffontal facial images are extensively unexplored. Non-ffontal facial images have more hidden information compared to frontal facial images. Although the current facial recognitions approach have great performance to recognize faces, but current system are usually affected by several interruptions such as uneven illumination, expression and pose-variations. To solve the problem of pose variant, Speeded-Up Robust Features (SURF) has been chosen. SURF is one of techniques used to reduce the time computation which is good for a system to have a good computation performance. This research aims to develop a prototype that able to recognize faces in the heterogeneous range of angle using SURF. The accuracy of this prototype is about 70.00 %. For future work, enhance SURF algorithm maybe by combining SURF with other techniques to have a better recognition result. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69258/ https://ir.uitm.edu.my/id/eprint/69258/1/69258.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Raju, Rajeswari
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Raju, Rajeswari
topic	Instruments and machines Instruments and machines Instruments and machines Computer software Application program interfaces Software measurement Neural networks (Computer science) Database management
spellingShingle	Instruments and machines Instruments and machines Instruments and machines Computer software Application program interfaces Software measurement Neural networks (Computer science) Database management Romely, Nur Syafiqah Liyana Facial recognition in the heterogeneous range of angle using Speeded-Up Robust Features (SURF) / Nur Syafiqah Liyana Romely
description	Biometric system is a technique to identify a person by using their own body characteristics. It acts as identification and access control in computer science. There are two types of biometric identifiers, which are physiological identifier and behavioural identifier. This research identifier is based on physiological characteristic that are related to the shape of the body and is one of biometric system that has higher success as an identifier that is facial recognition. Over the decades, facial recognition has been broadly explored, but there is still room for improvement since the focus of the earlier approach is more on frontal facial images and non- ffontal facial images are extensively unexplored. Non-ffontal facial images have more hidden information compared to frontal facial images. Although the current facial recognitions approach have great performance to recognize faces, but current system are usually affected by several interruptions such as uneven illumination, expression and pose-variations. To solve the problem of pose variant, Speeded-Up Robust Features (SURF) has been chosen. SURF is one of techniques used to reduce the time computation which is good for a system to have a good computation performance. This research aims to develop a prototype that able to recognize faces in the heterogeneous range of angle using SURF. The accuracy of this prototype is about 70.00 %. For future work, enhance SURF algorithm maybe by combining SURF with other techniques to have a better recognition result.
format	Thesis
qualification_level	Bachelor degree
author	Romely, Nur Syafiqah Liyana
author_facet	Romely, Nur Syafiqah Liyana
author_sort	Romely, Nur Syafiqah Liyana
title	Facial recognition in the heterogeneous range of angle using Speeded-Up Robust Features (SURF) / Nur Syafiqah Liyana Romely
title_short	Facial recognition in the heterogeneous range of angle using Speeded-Up Robust Features (SURF) / Nur Syafiqah Liyana Romely
title_full	Facial recognition in the heterogeneous range of angle using Speeded-Up Robust Features (SURF) / Nur Syafiqah Liyana Romely
title_fullStr	Facial recognition in the heterogeneous range of angle using Speeded-Up Robust Features (SURF) / Nur Syafiqah Liyana Romely
title_full_unstemmed	Facial recognition in the heterogeneous range of angle using Speeded-Up Robust Features (SURF) / Nur Syafiqah Liyana Romely
title_sort	facial recognition in the heterogeneous range of angle using speeded-up robust features (surf) / nur syafiqah liyana romely
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69258/1/69258.pdf
_version_	1783735859112050688

Facial recognition in the heterogeneous range of angle using Speeded-Up Robust Features (SURF) / Nur Syafiqah Liyana Romely

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