Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor

Integration of multimodal biometrics is one of the well known techniques for security enhancement. Hence, in this research the integration of car plate and face recognition as security enhancement in private parking area has been developed to ensure the car is driven by the authorized or registered...

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Main Author:	Md Noor, Siti Salwa
Format:	Thesis
Language:	English
Published:	2013
Online Access:	https://ir.uitm.edu.my/id/eprint/18373/2/TM_SITI%20SALWA%20MD%20NOOR%20EE%2013_5.pdf
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id	my-uitm-ir.18373
record_format	uketd_dc
spelling	my-uitm-ir.183732022-04-11T06:05:27Z Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor 2013-09 Md Noor, Siti Salwa Integration of multimodal biometrics is one of the well known techniques for security enhancement. Hence, in this research the integration of car plate and face recognition as security enhancement in private parking area has been developed to ensure the car is driven by the authorized or registered owner. The methodology proposed is based on algorithms tested for feature extraction of plate and face recognition based on unconstrained minimum average correlation energy (UMACE) filter. Then, cryptosystem algorithm based on Hill Cipher and random number is implemented as encryption and decryption techniques as protection for registered users as stored in the database. The accuracy rate attained is based on implementation of decision fusion using AND rule during classification. Experiments attained a total success rate (TSR) of 96% during parking based on plate recognition only and over 99% TSR during exit based on fusion of plate and face recognition at PSR value of 10. Results confirmed that the proposed method is indeed suitable for security measure in a parking space. Additionally, the algorithms developed in this study are also validated and verified based on three performance measures namely genuine acceptance rate (GAR) for plate as 96% based on registered car plate during exit whilst face GAR of 80% for registered owner or user to be allowed to exit. As for impostors, the rejection rate (IRR) calculated is 100% as indicator of the specificity of impostors as well as prohibiting unregistered owner or user to proceed and exit. 2013-09 Thesis https://ir.uitm.edu.my/id/eprint/18373/ https://ir.uitm.edu.my/id/eprint/18373/2/TM_SITI%20SALWA%20MD%20NOOR%20EE%2013_5.pdf text en public mphil masters Universiti Teknologi MARA Faculty of Electrical Engineering
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
description	Integration of multimodal biometrics is one of the well known techniques for security enhancement. Hence, in this research the integration of car plate and face recognition as security enhancement in private parking area has been developed to ensure the car is driven by the authorized or registered owner. The methodology proposed is based on algorithms tested for feature extraction of plate and face recognition based on unconstrained minimum average correlation energy (UMACE) filter. Then, cryptosystem algorithm based on Hill Cipher and random number is implemented as encryption and decryption techniques as protection for registered users as stored in the database. The accuracy rate attained is based on implementation of decision fusion using AND rule during classification. Experiments attained a total success rate (TSR) of 96% during parking based on plate recognition only and over 99% TSR during exit based on fusion of plate and face recognition at PSR value of 10. Results confirmed that the proposed method is indeed suitable for security measure in a parking space. Additionally, the algorithms developed in this study are also validated and verified based on three performance measures namely genuine acceptance rate (GAR) for plate as 96% based on registered car plate during exit whilst face GAR of 80% for registered owner or user to be allowed to exit. As for impostors, the rejection rate (IRR) calculated is 100% as indicator of the specificity of impostors as well as prohibiting unregistered owner or user to proceed and exit.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Md Noor, Siti Salwa
spellingShingle	Md Noor, Siti Salwa Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor
author_facet	Md Noor, Siti Salwa
author_sort	Md Noor, Siti Salwa
title	Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor
title_short	Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor
title_full	Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor
title_fullStr	Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor
title_full_unstemmed	Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor
title_sort	fusion of license plate and face recognition for secure parking / siti salwa md noor
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/18373/2/TM_SITI%20SALWA%20MD%20NOOR%20EE%2013_5.pdf
_version_	1783733669165268992

Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor

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