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...

Full description

Saved in:
Bibliographic Details
Main Authors: Wei, Keat Lee, Liew, Siau-Chuin
Format: Article
Language:English
Published: Penerbit UMP 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/20873/1/Fingerprint%20Watermarking%20With%20Tamper%20Localization%20And%20Exact%20Recovery%20Using%20Multi-Level%20Authentication.pdf
http://umpir.ump.edu.my/id/eprint/20873/
http://ijsecs.ump.edu.my/index.php/archive/17-v4/71-ijsecs-04-012
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Pahang
Language: English
id my.ump.umpir.20873
record_format eprints
spelling my.ump.umpir.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
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
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/20873/1/Fingerprint%20Watermarking%20With%20Tamper%20Localization%20And%20Exact%20Recovery%20Using%20Multi-Level%20Authentication.pdf
http://umpir.ump.edu.my/id/eprint/20873/
http://ijsecs.ump.edu.my/index.php/archive/17-v4/71-ijsecs-04-012
_version_ 1643668990476681216