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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Main Author: Romely, Nur Syafiqah Liyana
Format: Thesis
Language:English
Published: 2017
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Online Access:https://ir.uitm.edu.my/id/eprint/69258/1/69258.pdf
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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
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