Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT

This article presents a recent blind and robust fingerprint image watermarking scheme based on a two-dimensional discrete cosine transform (2D-DCT). The main focus is to compress the fingerprint image watermarked data for the purpose of reducing the volume of storage or sending over the network. The...

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Main Authors: Lebcir, Mohamed, Suryanti, Awang, Benziane, Ali
Format: Article
Language:English
Published: Springer US 2022
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Online Access:http://umpir.ump.edu.my/id/eprint/34669/1/Robust%20blind%20watermarking%202D-DCT.pdf
http://umpir.ump.edu.my/id/eprint/34669/
https://doi.org/10.1007/s11042-022-12365-6
https://doi.org/10.1007/s11042-022-12365-6
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Institution: Universiti Malaysia Pahang
Language: English
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spelling my.ump.umpir.346692022-07-07T06:12:46Z http://umpir.ump.edu.my/id/eprint/34669/ Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT Lebcir, Mohamed Suryanti, Awang Benziane, Ali QA76 Computer software This article presents a recent blind and robust fingerprint image watermarking scheme based on a two-dimensional discrete cosine transform (2D-DCT). The main focus is to compress the fingerprint image watermarked data for the purpose of reducing the volume of storage or sending over the network. The fingerprint features might be affected by the embedded watermark, compression of fingerprint images and the sending across network, thereby leading to various sets of features or watermark data. In order to address this goal in a differential way, the watermark sequence bit two sub-vectors were utilized. The two sub-vectors were achieved by the two-dimensional discrete cosine transform of the host image. Throughout the extraction stage, the essential distinction between the corresponding sub-vectors of the watermarked fingerprint image resulted explicitly in an embedded watermark sequence. The advantage of the proposed method is that it can develop a new simple blind and robust watermarking scheme by 2D-DCT frequency domain on the whole image. Accomplished results relative to other reliable compression schemes showed that the proposed scheme has greater or equivalent robustness to common image processing and geometric attacks, such as cropping, resizing, and rotation. To extract watermark data, the initial fingerprint image was not necessary. The proposed study was tested using 80 fingerprint images from 10 persons, for each from CASIA-FingerprintV5 and FVC2002 fingerprint databases. Eight fingerprint images for each individual were set as the format at which the watermark was embedded in each one. Springer US 2022 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34669/1/Robust%20blind%20watermarking%202D-DCT.pdf Lebcir, Mohamed and Suryanti, Awang and Benziane, Ali (2022) Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT. Multimedia Tools and Applications, 81. pp. 20561-20583. ISSN 1380-7501(print); 1573-7721(online) https://doi.org/10.1007/s11042-022-12365-6 https://doi.org/10.1007/s11042-022-12365-6
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Lebcir, Mohamed
Suryanti, Awang
Benziane, Ali
Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT
description This article presents a recent blind and robust fingerprint image watermarking scheme based on a two-dimensional discrete cosine transform (2D-DCT). The main focus is to compress the fingerprint image watermarked data for the purpose of reducing the volume of storage or sending over the network. The fingerprint features might be affected by the embedded watermark, compression of fingerprint images and the sending across network, thereby leading to various sets of features or watermark data. In order to address this goal in a differential way, the watermark sequence bit two sub-vectors were utilized. The two sub-vectors were achieved by the two-dimensional discrete cosine transform of the host image. Throughout the extraction stage, the essential distinction between the corresponding sub-vectors of the watermarked fingerprint image resulted explicitly in an embedded watermark sequence. The advantage of the proposed method is that it can develop a new simple blind and robust watermarking scheme by 2D-DCT frequency domain on the whole image. Accomplished results relative to other reliable compression schemes showed that the proposed scheme has greater or equivalent robustness to common image processing and geometric attacks, such as cropping, resizing, and rotation. To extract watermark data, the initial fingerprint image was not necessary. The proposed study was tested using 80 fingerprint images from 10 persons, for each from CASIA-FingerprintV5 and FVC2002 fingerprint databases. Eight fingerprint images for each individual were set as the format at which the watermark was embedded in each one.
format Article
author Lebcir, Mohamed
Suryanti, Awang
Benziane, Ali
author_facet Lebcir, Mohamed
Suryanti, Awang
Benziane, Ali
author_sort Lebcir, Mohamed
title Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT
title_short Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT
title_full Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT
title_fullStr Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT
title_full_unstemmed Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT
title_sort robust blind watermarking approach against the compression for fingerprint image using 2d-dct
publisher Springer US
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/34669/1/Robust%20blind%20watermarking%202D-DCT.pdf
http://umpir.ump.edu.my/id/eprint/34669/
https://doi.org/10.1007/s11042-022-12365-6
https://doi.org/10.1007/s11042-022-12365-6
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