Performance comparison between ANN and PCA techniques for road signs recognition

This study reports about a comparison in recognizing road signs between Neural Network and Principal Component Analysis (PCA). The road sign with circular, triangular, octagonal and diamond shapes have been used in this study. Two recognition systems to determine the classes of the road signs class...

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Main Authors: Mohd Ali, Nursabillilah, Mohd Mustafah, Yasir, Alang Md Rashid, Nahrul Khair
Format: Article
Language:English
Published: Trans Tech Publications Ltd., Switzerland 2013
Subjects:
Online Access:http://irep.iium.edu.my/35990/
http://irep.iium.edu.my/35990/
http://irep.iium.edu.my/35990/1/2._Performance_Comparison_between_PCA_and_ANN_Techniques_for_Road_Signs_Recognition.pdf
id iium-35990
recordtype eprints
spelling iium-359902014-03-10T07:39:40Z http://irep.iium.edu.my/35990/ Performance comparison between ANN and PCA techniques for road signs recognition Mohd Ali, Nursabillilah Mohd Mustafah, Yasir Alang Md Rashid, Nahrul Khair T Technology (General) This study reports about a comparison in recognizing road signs between Neural Network and Principal Component Analysis (PCA). The road sign with circular, triangular, octagonal and diamond shapes have been used in this study. Two recognition systems to determine the classes of the road signs class were implemented which are based on Feed Forward Neural Network and Principal Component Analysis (PCA). The performance of the trained classifier using Scaled Conjugate Gradient (SCG) back propagation function in Neural Network and PCA technique were evaluated on our test datasets. The experiments show that the system using PCA has a higher accuracy as compared to Neural Network with a minimum of 94% classification rate of road signs. Trans Tech Publications Ltd., Switzerland 2013-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/35990/1/2._Performance_Comparison_between_PCA_and_ANN_Techniques_for_Road_Signs_Recognition.pdf Mohd Ali, Nursabillilah and Mohd Mustafah, Yasir and Alang Md Rashid, Nahrul Khair (2013) Performance comparison between ANN and PCA techniques for road signs recognition. Applied Mechanics and Materials, 393. pp. 611-616. ISSN 1660-9336 http://www.scientific.net/AMM.393.611
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mohd Ali, Nursabillilah
Mohd Mustafah, Yasir
Alang Md Rashid, Nahrul Khair
Performance comparison between ANN and PCA techniques for road signs recognition
description This study reports about a comparison in recognizing road signs between Neural Network and Principal Component Analysis (PCA). The road sign with circular, triangular, octagonal and diamond shapes have been used in this study. Two recognition systems to determine the classes of the road signs class were implemented which are based on Feed Forward Neural Network and Principal Component Analysis (PCA). The performance of the trained classifier using Scaled Conjugate Gradient (SCG) back propagation function in Neural Network and PCA technique were evaluated on our test datasets. The experiments show that the system using PCA has a higher accuracy as compared to Neural Network with a minimum of 94% classification rate of road signs.
format Article
author Mohd Ali, Nursabillilah
Mohd Mustafah, Yasir
Alang Md Rashid, Nahrul Khair
author_facet Mohd Ali, Nursabillilah
Mohd Mustafah, Yasir
Alang Md Rashid, Nahrul Khair
author_sort Mohd Ali, Nursabillilah
title Performance comparison between ANN and PCA techniques for road signs recognition
title_short Performance comparison between ANN and PCA techniques for road signs recognition
title_full Performance comparison between ANN and PCA techniques for road signs recognition
title_fullStr Performance comparison between ANN and PCA techniques for road signs recognition
title_full_unstemmed Performance comparison between ANN and PCA techniques for road signs recognition
title_sort performance comparison between ann and pca techniques for road signs recognition
publisher Trans Tech Publications Ltd., Switzerland
publishDate 2013
url http://irep.iium.edu.my/35990/
http://irep.iium.edu.my/35990/
http://irep.iium.edu.my/35990/1/2._Performance_Comparison_between_PCA_and_ANN_Techniques_for_Road_Signs_Recognition.pdf
first_indexed 2023-09-18T20:51:31Z
last_indexed 2023-09-18T20:51:31Z
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