Face recognition system using DCT features implemented on DSP processor

Face recognition is a challenge because the faces always change due to facial expression, direction, light, and scale. Furthermore, it needs good computing techniques for recognition in order to reduce the system’s complexity. Our approach focuses on the local feature extraction in the frequency do...

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Main Author:	Raja Abdullah, Raja Ahmad
Format:	Thesis
Language:	English
Subjects:	Face recognition Human Face recognition (Computer science) Discrete cosine transform (DCT) Face recognition system
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61574/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61574/2/Full%20text.pdf
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id	my-unimap-61574
record_format	uketd_dc
spelling	my-unimap-615742019-08-29T01:35:41Z Face recognition system using DCT features implemented on DSP processor Raja Abdullah, Raja Ahmad Dr. Muhammad Imran Ahmad Face recognition is a challenge because the faces always change due to facial expression, direction, light, and scale. Furthermore, it needs good computing techniques for recognition in order to reduce the system’s complexity. Our approach focuses on the local feature extraction in the frequency domain. DCT was proposed as the feature extraction algorithm for face recognition, which captures the important features in the face image and at the same time reduces the feature space. PCA then performs the feature reduction of the extracted image and produces a small size of feature vector. The propose method can reduce data dimension in feature space. The classification is done by using the Euclidean distance between the projection test and projection train images. The algorithm is tested using DSP processor and achieve a same performance with PC based. The extensive experimentations that have been carried out upon standard face databases such as ORL shows that significant performance is achieved by this method, which is 98.5% for best selected test image and 95% for the worst selected test image. Besides that, execution time is also measured, whereby to recognize 40 people, the system only requires 0.3313 second. The proposed method not only offers computational savings, but is also fast and has a high degree of recognition accuracy. Universiti Malaysia Perlis (UniMAP) 2015 Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61574 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61574/1/Page%201-24.pdf 19f6a1459e57f27c68681a20f58d0db9 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61574/2/Full%20text.pdf abeaac36cc124a036c039f1c64089270 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61574/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Face recognition Human Face recognition (Computer science) Discrete cosine transform (DCT) Face recognition system School of Computer and Communication Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Dr. Muhammad Imran Ahmad
topic	Face recognition Human Face recognition (Computer science) Discrete cosine transform (DCT) Face recognition system
spellingShingle	Face recognition Human Face recognition (Computer science) Discrete cosine transform (DCT) Face recognition system Raja Abdullah, Raja Ahmad Face recognition system using DCT features implemented on DSP processor
description	Face recognition is a challenge because the faces always change due to facial expression, direction, light, and scale. Furthermore, it needs good computing techniques for recognition in order to reduce the system’s complexity. Our approach focuses on the local feature extraction in the frequency domain. DCT was proposed as the feature extraction algorithm for face recognition, which captures the important features in the face image and at the same time reduces the feature space. PCA then performs the feature reduction of the extracted image and produces a small size of feature vector. The propose method can reduce data dimension in feature space. The classification is done by using the Euclidean distance between the projection test and projection train images. The algorithm is tested using DSP processor and achieve a same performance with PC based. The extensive experimentations that have been carried out upon standard face databases such as ORL shows that significant performance is achieved by this method, which is 98.5% for best selected test image and 95% for the worst selected test image. Besides that, execution time is also measured, whereby to recognize 40 people, the system only requires 0.3313 second. The proposed method not only offers computational savings, but is also fast and has a high degree of recognition accuracy.
format	Thesis
author	Raja Abdullah, Raja Ahmad
author_facet	Raja Abdullah, Raja Ahmad
author_sort	Raja Abdullah, Raja Ahmad
title	Face recognition system using DCT features implemented on DSP processor
title_short	Face recognition system using DCT features implemented on DSP processor
title_full	Face recognition system using DCT features implemented on DSP processor
title_fullStr	Face recognition system using DCT features implemented on DSP processor
title_full_unstemmed	Face recognition system using DCT features implemented on DSP processor
title_sort	face recognition system using dct features implemented on dsp processor
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Computer and Communication Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61574/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61574/2/Full%20text.pdf
_version_	1747836846568636416

Face recognition system using DCT features implemented on DSP processor

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