Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication

This paper presents the tamper localization and exact recovery using multi-level authentication in fingerprint watermarking. The proposed scheme will be detecting the tampered sector of fingerprint images when the watermark is embedded in the original image. If the sector has been tampered, the sect...

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Main Authors:	Wei, Keat Lee, Liew, Siau-Chuin
Format:	Article
Language:	English
Published:	Penerbit UMP 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/20873/ http://umpir.ump.edu.my/id/eprint/20873/ http://umpir.ump.edu.my/id/eprint/20873/ http://umpir.ump.edu.my/id/eprint/20873/1/Fingerprint%20Watermarking%20With%20Tamper%20Localization%20And%20Exact%20Recovery%20Using%20Multi-Level%20Authentication.pdf

id	ump-20873
recordtype	eprints
spelling	ump-208732018-11-12T02:15:01Z http://umpir.ump.edu.my/id/eprint/20873/ Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication Wei, Keat Lee Liew, Siau-Chuin QA76 Computer software This paper presents the tamper localization and exact recovery using multi-level authentication in fingerprint watermarking. The proposed scheme will be detecting the tampered sector of fingerprint images when the watermark is embedded in the original image. If the sector has been tampered, the sector will be able to recover the original data. Furthermore, exact pixel value of the fingerprint image is used to embed the feature of extraction and recovery of the original fingerprint image from the tampered image. This paper also describes the usage of SHA-256 as a hash function, the usage of Least Significant Bit (LSB) technique to perform tamper detection, localization and recovery in the Region of Interest (ROI). The proposed scheme does not require original fingerprint for detection on the tampered sector and recovery. It uses 512 x 512 pixels fingerprint images and 288 x 180 pixels of ROI in this study. The experimental results showed that the tamper detection and localization were successfully detected and localized the tampered sector. The tampered sectors were restored accurately and the average peak signal-to-noise ratio (PSNR) value of watermarked image was 44.1518 dB. The experimental result proved the effectiveness of multi-level authentication. Penerbit UMP 2018 Article PeerReviewed text en http://umpir.ump.edu.my/id/eprint/20873/1/Fingerprint%20Watermarking%20With%20Tamper%20Localization%20And%20Exact%20Recovery%20Using%20Multi-Level%20Authentication.pdf Wei, Keat Lee and Liew, Siau-Chuin (2018) Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication. International Journal of Software Engineering & Computer Sciences (IJSECS), 4 (1). pp. 120-132. ISSN 2289-8522 http://ijsecs.ump.edu.my/index.php/archive/17-v4/71-ijsecs-04-012 doi: https://doi.org/10.15282/ijsecs.4.1.2018.10.0043
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Wei, Keat Lee Liew, Siau-Chuin Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication
description	This paper presents the tamper localization and exact recovery using multi-level authentication in fingerprint watermarking. The proposed scheme will be detecting the tampered sector of fingerprint images when the watermark is embedded in the original image. If the sector has been tampered, the sector will be able to recover the original data. Furthermore, exact pixel value of the fingerprint image is used to embed the feature of extraction and recovery of the original fingerprint image from the tampered image. This paper also describes the usage of SHA-256 as a hash function, the usage of Least Significant Bit (LSB) technique to perform tamper detection, localization and recovery in the Region of Interest (ROI). The proposed scheme does not require original fingerprint for detection on the tampered sector and recovery. It uses 512 x 512 pixels fingerprint images and 288 x 180 pixels of ROI in this study. The experimental results showed that the tamper detection and localization were successfully detected and localized the tampered sector. The tampered sectors were restored accurately and the average peak signal-to-noise ratio (PSNR) value of watermarked image was 44.1518 dB. The experimental result proved the effectiveness of multi-level authentication.
format	Article
author	Wei, Keat Lee Liew, Siau-Chuin
author_facet	Wei, Keat Lee Liew, Siau-Chuin
author_sort	Wei, Keat Lee
title	Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication
title_short	Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication
title_full	Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication
title_fullStr	Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication
title_full_unstemmed	Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication
title_sort	fingerprint watermarking with tamper localization and exact recovery using multi-level authentication
publisher	Penerbit UMP
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/20873/ http://umpir.ump.edu.my/id/eprint/20873/ http://umpir.ump.edu.my/id/eprint/20873/ http://umpir.ump.edu.my/id/eprint/20873/1/Fingerprint%20Watermarking%20With%20Tamper%20Localization%20And%20Exact%20Recovery%20Using%20Multi-Level%20Authentication.pdf
first_indexed	2023-09-18T22:30:22Z
last_indexed	2023-09-18T22:30:22Z
_version_	1777416244582940672

Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication

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