Enhancing security of fingerprints through contextual biometric watermarking
Abstract This paper presents a novel digital watermarking technique using face and demographic text data as multiple watermarks for verifying the chain of custody and protecting the integrity of a fingerprint image. The watermarks are embedded in selected texture regions of a fingerprint image using...
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| Published in: | Forensic science international Vol. 169; no. 2; pp. 188 - 194 |
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| Language: | English |
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04-07-2007
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| Abstract | Abstract This paper presents a novel digital watermarking technique using face and demographic text data as multiple watermarks for verifying the chain of custody and protecting the integrity of a fingerprint image. The watermarks are embedded in selected texture regions of a fingerprint image using discrete wavelet transform. Experimental results show that modifications in these locations are visually imperceptible and maintain the minutiae details. The integrity of the fingerprint image is verified through the high matching scores obtained from an automatic fingerprint identification system. There is also a high degree of visual correlation between the embedded images, and the extracted images from the watermarked fingerprint. The degree of similarity is computed using pixel-based metrics and human visual system metrics. The results also show that the proposed watermarked fingerprint and the extracted images are resilient to common attacks such as compression, filtering, and noise. |
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| AbstractList | This paper presents a novel digital watermarking technique using face and demographic text data as multiple watermarks for verifying the chain of custody and protecting the integrity of a fingerprint image. The watermarks are embedded in selected texture regions of a fingerprint image using discrete wavelet transform. Experimental results show that modifications in these locations are visually imperceptible and maintain the minutiae details. The integrity of the fingerprint image is verified through the high matching scores obtained from an automatic fingerprint identification system. There is also a high degree of visual correlation between the embedded images, and the extracted images from the watermarked fingerprint. The degree of similarity is computed using pixel-based metrics and human visual system metrics. The results also show that the proposed watermarked fingerprint and the extracted images are resilient to common attacks such as compression, filtering, and noise. Abstract This paper presents a novel digital watermarking technique using face and demographic text data as multiple watermarks for verifying the chain of custody and protecting the integrity of a fingerprint image. The watermarks are embedded in selected texture regions of a fingerprint image using discrete wavelet transform. Experimental results show that modifications in these locations are visually imperceptible and maintain the minutiae details. The integrity of the fingerprint image is verified through the high matching scores obtained from an automatic fingerprint identification system. There is also a high degree of visual correlation between the embedded images, and the extracted images from the watermarked fingerprint. The degree of similarity is computed using pixel-based metrics and human visual system metrics. The results also show that the proposed watermarked fingerprint and the extracted images are resilient to common attacks such as compression, filtering, and noise. |
| Author | Singh, Richa Houck, Max M Noore, Afzel Vatsa, Mayank |
| Author_xml | – sequence: 1 fullname: Noore, Afzel – sequence: 2 fullname: Singh, Richa – sequence: 3 fullname: Vatsa, Mayank – sequence: 4 fullname: Houck, Max M |
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| Cites_doi | 10.1109/TPAMI.2003.1240122 10.1587/elex.3.23 10.1109/97.995823 10.1109/41.954550 10.1587/elex.2.362 10.1016/j.cose.2004.09.007 10.1109/49.668975 10.1109/TMM.2003.819759 10.1109/TIP.2003.819861 10.1109/83.982816 10.1109/83.136601 |
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| Keywords | Fingerprint identification Wavelet transform Watermarking Biometrics Fingerprint Forensic science Wavelet transformation Legal medicine Fingerprint method Forensic aspect Identification |
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| Snippet | Abstract This paper presents a novel digital watermarking technique using face and demographic text data as multiple watermarks for verifying the chain of... This paper presents a novel digital watermarking technique using face and demographic text data as multiple watermarks for verifying the chain of custody and... |
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| SubjectTerms | Algorithms Biological and medical sciences Biometrics Computer Security Dermatoglyphics Face - anatomy & histology Fingerprint identification Fingerprinting Forensic medicine Forensic sciences General aspects Humans Identification systems Image Interpretation, Computer-Assisted Investigative techniques, diagnostic techniques (general aspects) Medical sciences Pathology Pattern Recognition, Automated Public health. Hygiene Public health. Hygiene-occupational medicine Security management Sensors Watermarking Wavelet transform Wavelet transforms |
| Title | Enhancing security of fingerprints through contextual biometric watermarking |
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