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Lossy Compression of Biometric Images Implemented Using Floating Point DSP Processor

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Main Authors: Azuwam Ali Alhadi, Azuwam, Muhammad Imran, Ahmad, Mohd Nazrin, Md Isa, Mohd Zaizu, Ilyas, Raja Abdullah, Raja Ahmad
Other Authors: m.imran@unimap.edu.my
Format: Article
Language:English
Published: EDP Sciences 2021
Subjects:
Biometric images
Biometric
Floating Point DSP Processor
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69256
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spelling my.unimap-692562021-01-06T01:04:51Z Lossy Compression of Biometric Images Implemented Using Floating Point DSP Processor Azuwam Ali Alhadi, Azuwam Muhammad Imran, Ahmad Mohd Nazrin, Md Isa Mohd Zaizu, Ilyas Raja Abdullah, Raja Ahmad m.imran@unimap.edu.my Biometric images Biometric Floating Point DSP Processor Link to publisher's homepage at https://www.matec-conferences.org/ In this paper, several numbers of biometric images are compressed in order to reduce the number of bits needed in representing an image with conservation of image quality. Biometric images compression is important to solve the problem of efficiently transmitting data and storing large number of biometric images in low capacity of memory device. Biometric images are compressed using two techniques which are DCT and Quantization. The compression algorithm is implemented on general purpose computer and DSP processor in order to compare between both of them in terms processing time and evaluate the performance of this technique by measuring the difference between the original image and reconstructed image using PSNR, SSIM and MSE. Experimental results show DCT algorithm produces a high quality for reconstructed images with acceptable compression rate in terms of quality level is more than 50%. Furthermore, implementing the proposed algorithm using DSP board achieves better performance in terms of processing time compared with PC based. 2021-01-06T01:04:51Z 2021-01-06T01:04:51Z 2017 Article MATEC Web of Conferences, vol.140, 2017, 4 pages 2261-236X (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69256 https://doi.org/10.1051/matecconf/201714001012 en 2017 International Conference on Emerging Electronic Solutions for IoT (ICEESI 2017); EDP Sciences
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 Biometric images
Biometric
Floating Point DSP Processor
spellingShingle Biometric images
Biometric
Floating Point DSP Processor
Azuwam Ali Alhadi, Azuwam
Muhammad Imran, Ahmad
Mohd Nazrin, Md Isa
Mohd Zaizu, Ilyas
Raja Abdullah, Raja Ahmad
Lossy Compression of Biometric Images Implemented Using Floating Point DSP Processor
description Link to publisher's homepage at https://www.matec-conferences.org/
author2 m.imran@unimap.edu.my
author_facet m.imran@unimap.edu.my
Azuwam Ali Alhadi, Azuwam
Muhammad Imran, Ahmad
Mohd Nazrin, Md Isa
Mohd Zaizu, Ilyas
Raja Abdullah, Raja Ahmad
format Article
author Azuwam Ali Alhadi, Azuwam
Muhammad Imran, Ahmad
Mohd Nazrin, Md Isa
Mohd Zaizu, Ilyas
Raja Abdullah, Raja Ahmad
author_sort Azuwam Ali Alhadi, Azuwam
title Lossy Compression of Biometric Images Implemented Using Floating Point DSP Processor
title_short Lossy Compression of Biometric Images Implemented Using Floating Point DSP Processor
title_full Lossy Compression of Biometric Images Implemented Using Floating Point DSP Processor
title_fullStr Lossy Compression of Biometric Images Implemented Using Floating Point DSP Processor
title_full_unstemmed Lossy Compression of Biometric Images Implemented Using Floating Point DSP Processor
title_sort lossy compression of biometric images implemented using floating point dsp processor
publisher EDP Sciences
publishDate 2021
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69256
_version_ 1698698580209958912
score 13.222552

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