Robust watermarking of fingerprint images

Günsel, Bilge; Uludağ, Umut; Tekalp, A.M.

doi:10.1016/s0031-3203(01)00250-3

Cited by 92 publications

(44 citation statements)

References 6 publications

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“…An extensive literature review in [12] shows multiple watermarking of medical images aims to provide a unified approach to different healthcare applications and is quite a creative concept. The watermarking methods can be distinctly classified as transform domain techniques [4][5][6], spatial domain [7,8], selectable domain techniques [9], and combinational domain techniques [10]. One special approach is inserting an encrypted electronic patient record in the LSB of pixels' gray level [11].…”

Section: Introductionmentioning

confidence: 99%

A contextual based double watermarking of PET images by patient ID and ECG signal

Nambakhsh

Ahmadian

Zaidi

2011

Computer Methods and Programs in Biomedicine

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Abstractc o m p u t e r m e t h o d s a n d p r o g r a m s i n b i o m e d i c i n e 1 0 4 ( 2 0 1 1 ) [418][419][420][421][422][423][424][425] j o u r n a l h o m e p a g e : w w w . i n t l . e l s e v i e r h e a l t h . c o m / j o u r n a l s / c m p b A contextual based double watermarking of PET images by patient ID and ECG signal a b s t r a c tThis paper presents a novel digital watermarking framework using electrocardiograph (ECG) and demographic text data as double watermarks. It protects patient medical information and prevents mismatching diagnostic information. The watermarks are embedded in selected texture regions of a PET image using multi-resolution wavelet decomposition.Experimental results show that modifications in these locations are visually imperceptible. The robustness of the watermarks is verified through measurement of peak signal to noise ratio (PSNR), cross-correlation (CC%), structural similarity measure (SSIM) and universal image quality index (UIQI). Their robustness is also computed using pixel-based metrics and human visual system metrics. Additionally, beta factor (ˇ) as an edge preservation measure is used for degradation evaluation of the image boundaries throughout the watermarked PET image. Assessment of the extracted watermarks shows watermarking robustness to common attacks such as embedded zero-tree wavelet (EZW) compression and median filtering.© 2010 Elsevier Ireland Ltd. All rights reserved. IntroductionThe huge amounts of acquired digital medical images in hospitals are usually stored in a database along with the demographic text data and the bio-signals of patients. Unauthorized tampering, mismatching and mishandling of information are problems with such data in large databases. Additionally, exchange of bio-signals, demographic texts and medical images between hospitals needs efficient and reliable transmission and storage techniques. Moreover, storing different information of a patient in separate files increases the risk of mismatching and diagnostic mistakes. Unauthorized * Corresponding author. viewing of patients' healthcare information is one of the main concerns in hospital information systems. Recently, watermarking has been an active area of research for strengthening healthcare information security. Generally, watermarking algorithms have been aimed to protect digital images by hiding information into them. The main advantage of watermarking is information invisibility and anonymity. Authentication is considered a genuine application for them. A large number of watermarking techniques for medical images are available in literature which almost most of them focus on two areas, namely, tamper detection and authentication, and electronic patient record (EPR) embedding in medical images. Significantly, embedding of EPR or metadata 0169-2607/$ -see front matter

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Section: Introductionmentioning

confidence: 99%

A contextual based double watermarking of PET images by patient ID and ECG signal

Nambakhsh

Ahmadian

Zaidi

2011

Computer Methods and Programs in Biomedicine

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“…A motivation for the use of watermarks in biometric systems has been the need to provide increased security to the biometrics themselves and to this end, there have been some accomplishments, e.g., [5][6][8][9]. We propose to use a composite signature based watermarking technique, based upon our previous work Phasemark™, for robust fingerprint authentication, when dealing with variants of the same fingerprint.…”

Section: Introductionmentioning

confidence: 99%

Composite signature based watermarking for fingerprint authentication

Ahmed

Moskowitz²

2005

Proceedings of the 7th Workshop on Multimedia and Security

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“…In 2002, Gunsel et al [7] proposed two spatial domain-watermarking schemes. Their first scheme utilizes an image adaptive strength adjustment technique to make low visibility of embedded watermark, while their second method uses feature adaptive watermarking technique and is applicable before feature extraction.…”

Section: Related Workmentioning

confidence: 99%

“…Biometric technologies are gaining more attraction because of secure authentication methods for user access, e-commerce, remote authentication, and access control. Biometric provides uniqueness, but the dilemma is that it is not secret and has some risks of being hacked, modified, and reused [6,7]. The integrity of biometric templates/data become more critical whenever it is sent over the network, so there is a need to protect biometric data from different attacks.…”

Section: Introductionmentioning

confidence: 99%

“…The integrity of biometric templates/data become more critical whenever it is sent over the network, so there is a need to protect biometric data from different attacks. The reliability and user acceptance of a biometric system depends on the effectiveness and the security of the system against intruders, unauthorized modification, and misuse [6][7][8][9]. A biometric-based verification system works properly only if the verifier system can guarantee that the templates come from the valid and legitimate user at the time of enrollment [8].…”

Section: Introductionmentioning

confidence: 99%

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Robust Hiding of Fingerprint-Biometric Data into Audio Signals

Khan

Xie

Zhang

Advances in Biometrics

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Abstract. This paper presents a novel fingerprint-biometric template protection scheme, in which templates are concealed into audio signals. Fingerprint templates are encrypted by chaotic encryption and then hid into the chaotically selected random sampling points of the host audio signal by a new non-uniform discrete Fourier transform (NDFT)-based data hiding method. The template extraction process is completely blind and does not require original audio signal, thus the extraction depends on the secret key. Experimental results show that the proposed scheme is robust against common signal processing attacks and achieves higher verification accuracy.

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Robust watermarking of fingerprint images

Cited by 92 publications

References 6 publications

A contextual based double watermarking of PET images by patient ID and ECG signal

A contextual based double watermarking of PET images by patient ID and ECG signal

Composite signature based watermarking for fingerprint authentication

Robust Hiding of Fingerprint-Biometric Data into Audio Signals

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