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Palmprint recognition using principle component analysis implemented on TMS320C6713 DSP processor

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Main Authors: Thulfiqar Hussein, Mandeel, Muhammad Imran, Ahmad, Mohd Nazrin, Md Isa, Ruzelita, Ngadiran
Other Authors: m.imran@unimap.edu.my
Format: Article
Language:English
Published: Universiti Teknikal Malaysia Melaka 2019
Subjects:
Biometrics
Palmprint recognition
Principal component analysis
Feature extraction
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63564
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spelling my.unimap-635642019-12-03T04:33:25Z Palmprint recognition using principle component analysis implemented on TMS320C6713 DSP processor Thulfiqar Hussein, Mandeel Muhammad Imran, Ahmad Mohd Nazrin, Md Isa Ruzelita, Ngadiran m.imran@unimap.edu.my Biometrics Palmprint recognition Principal component analysis Feature extraction Link to publisher's homepage at http://journal.utem.edu.my This paper presents a human identification system using eigen-palm images. The proposed method consists of three main stages. The preprocessing stage computes the palmprint images to capture important information and produce a better representation of palmprint image data. The second stage extracts significant features from palmprint images and reduces the dimension of the palmprint image data by applying the principal component analysis (PCA) technique. Low-dimensional features in the feature space are assumed to be Gaussian. Thus, the Euclidean distance classifier can be used in the matching process to compare test image with the template. The proposed method is tested using a benchmark PolyU dataset. Experimental results show that the best achieved recognition rate is 97.5% when the palmprint image is represented using 34 PCA coefficients. Moreover, the Euclidean distance classifier is implemented on a digital signal processor (DSP) board. Implementing the proposed algorithm using the DSP processor achieves better performance in computation time compared with a personal computer-based system 2019-12-03T04:33:25Z 2019-12-03T04:33:25Z 2016 Article Link to publisher's homepage at http://journal.utem.edu.my, vol.8(4), 2016, 41-46. 2180–1843 2289-8131 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63564 journal.utem.edu.my/index.php/jtec/article/view/1169 en Universiti Teknikal Malaysia Melaka
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Biometrics
Palmprint recognition
Principal component analysis
Feature extraction
spellingShingle Biometrics
Palmprint recognition
Principal component analysis
Feature extraction
Thulfiqar Hussein, Mandeel
Muhammad Imran, Ahmad
Mohd Nazrin, Md Isa
Ruzelita, Ngadiran
Palmprint recognition using principle component analysis implemented on TMS320C6713 DSP processor
description Link to publisher's homepage at http://journal.utem.edu.my
author2 m.imran@unimap.edu.my
author_facet m.imran@unimap.edu.my
Thulfiqar Hussein, Mandeel
Muhammad Imran, Ahmad
Mohd Nazrin, Md Isa
Ruzelita, Ngadiran
format Article
author Thulfiqar Hussein, Mandeel
Muhammad Imran, Ahmad
Mohd Nazrin, Md Isa
Ruzelita, Ngadiran
author_sort Thulfiqar Hussein, Mandeel
title Palmprint recognition using principle component analysis implemented on TMS320C6713 DSP processor
title_short Palmprint recognition using principle component analysis implemented on TMS320C6713 DSP processor
title_full Palmprint recognition using principle component analysis implemented on TMS320C6713 DSP processor
title_fullStr Palmprint recognition using principle component analysis implemented on TMS320C6713 DSP processor
title_full_unstemmed Palmprint recognition using principle component analysis implemented on TMS320C6713 DSP processor
title_sort palmprint recognition using principle component analysis implemented on tms320c6713 dsp processor
publisher Universiti Teknikal Malaysia Melaka
publishDate 2019
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63564
_version_ 1654961443310665728
score 13.214268

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