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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
https://ir.uitm.edu.my/id/eprint/18373/
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spelling my.uitm.ir.183732022-04-11T06:05:27Z https://ir.uitm.edu.my/id/eprint/18373/ Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/18373/2/TM_SITI%20SALWA%20MD%20NOOR%20EE%2013_5.pdf (2013) Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor. Masters thesis, thesis, Universiti Teknologi MARA.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
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
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
publishDate 2013
url https://ir.uitm.edu.my/id/eprint/18373/2/TM_SITI%20SALWA%20MD%20NOOR%20EE%2013_5.pdf
https://ir.uitm.edu.my/id/eprint/18373/
_version_ 1731229066259857408
score 13.211869

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