Reversible watermarking technique for fingerprint authentication based on DCT

Mohamed, Lebcir and Suryanti, Awang and Benziane, Ali (2020) Reversible watermarking technique for fingerprint authentication based on DCT. In: 6th International Conference on Software Engineering & Computer Systems , 25 - 27 Sep. 2019 , Vistana Hotel, Kuantan, Pahang, Malaysia. pp. 1-14., 769. ISSN 1757-8981 (Print); 1757-899X (Online)

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Abstract

In this paper, a new reversible and blind fingerprint image watermarking technique based on the differential method and discrete cosine transform (DCT) domains is presented. The focus is to increase the security of the fingerprint image in authentication systems. Two CTtransformed sub-vectors are employed to embed the bits of the watermark sequence in a differential scheme. The original sub-vectors are acquired by the DCT transform on the host fingerprint image. In the extraction process, a minor variance between the sub-vectors that correspond to the watermarked fingerprint image directly allows access to the embedded watermark sequence; therefore, the extraction process doesn’t require an original fingerprint. The original fingerprint image is then recovered from the watermarked fingerprint image based on the reversible watermarking technique. The similarity between the reversible fingerprint image and the original is considered, and we could extract minutiae points from it without a problem. The proposed technique is evaluated using 80 fingerprint images from 10 persons for each from FVC2002 fingerprint database. Eight fingerprint images have been taken from each person to be used as the template then the process was followed by embedding the watermark into each fingerprint image. The experimental results validate the proposed method able to give promising results in preserving the fingerprint image security.

Item Type:	Conference or Workshop Item (Lecture)
Uncontrolled Keywords:	Fingerprint; Fingerprint image watermarking; Frequency domain; DCT; Reversibility
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computing
Depositing User:	Pn. Hazlinda Abd Rahman
Date Deposited:	17 Jun 2020 03:31
Last Modified:	05 Jan 2024 07:49
URI:	http://umpir.ump.edu.my/id/eprint/27721
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