Improving Robustness of Biometric Identity Determination with Digital Watermarking
The determination of an identity from noisy biometric measurements is a continuing challenge. In many applications, such as identity-based encryption, the identity needs to be known with virtually 100% certainty. The determination of identities with such precision from face images taken under a wide...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/6390741 |
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| _version_ | 1832553948211314688 |
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| author | Juha Partala Angelos Fylakis Anu Pramila Anja Keskinarkaus Tapio Seppänen |
| author_facet | Juha Partala Angelos Fylakis Anu Pramila Anja Keskinarkaus Tapio Seppänen |
| author_sort | Juha Partala |
| collection | DOAJ |
| description | The determination of an identity from noisy biometric measurements is a continuing challenge. In many applications, such as identity-based encryption, the identity needs to be known with virtually 100% certainty. The determination of identities with such precision from face images taken under a wide range of natural situations is still an unsolved problem. We propose a digital watermarking based method to aid face recognizers to tackle this problem in applications. In particular, we suggest embedding multiple face dependent watermarks into an image to serve as expert knowledge on the corresponding identities to identity-based schemes. This knowledge could originate, for example, from the tagging of those people on a social network. In our proposal, a single payload consists of a correction vector that can be added to the extracted biometric template to compile a nearly noiseless identity. It also supports the removal of a person from the image. If a particular face is censored, the corresponding identity is also removed. Based on our experiments, our method is robust against JPEG compression, image filtering, and occlusion and enables a reliable determination of an identity without side information. |
| format | Article |
| id | doaj-art-721653c4b4ed4dd5b9d3ed8f577f092c |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-721653c4b4ed4dd5b9d3ed8f577f092c2025-02-03T05:52:46ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552016-01-01201610.1155/2016/63907416390741Improving Robustness of Biometric Identity Determination with Digital WatermarkingJuha Partala0Angelos Fylakis1Anu Pramila2Anja Keskinarkaus3Tapio Seppänen4Physiological Signal Analysis Team, Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, FinlandPhysiological Signal Analysis Team, Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, FinlandPhysiological Signal Analysis Team, Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, FinlandPhysiological Signal Analysis Team, Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, FinlandPhysiological Signal Analysis Team, Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, FinlandThe determination of an identity from noisy biometric measurements is a continuing challenge. In many applications, such as identity-based encryption, the identity needs to be known with virtually 100% certainty. The determination of identities with such precision from face images taken under a wide range of natural situations is still an unsolved problem. We propose a digital watermarking based method to aid face recognizers to tackle this problem in applications. In particular, we suggest embedding multiple face dependent watermarks into an image to serve as expert knowledge on the corresponding identities to identity-based schemes. This knowledge could originate, for example, from the tagging of those people on a social network. In our proposal, a single payload consists of a correction vector that can be added to the extracted biometric template to compile a nearly noiseless identity. It also supports the removal of a person from the image. If a particular face is censored, the corresponding identity is also removed. Based on our experiments, our method is robust against JPEG compression, image filtering, and occlusion and enables a reliable determination of an identity without side information.http://dx.doi.org/10.1155/2016/6390741 |
| spellingShingle | Juha Partala Angelos Fylakis Anu Pramila Anja Keskinarkaus Tapio Seppänen Improving Robustness of Biometric Identity Determination with Digital Watermarking Journal of Electrical and Computer Engineering |
| title | Improving Robustness of Biometric Identity Determination with Digital Watermarking |
| title_full | Improving Robustness of Biometric Identity Determination with Digital Watermarking |
| title_fullStr | Improving Robustness of Biometric Identity Determination with Digital Watermarking |
| title_full_unstemmed | Improving Robustness of Biometric Identity Determination with Digital Watermarking |
| title_short | Improving Robustness of Biometric Identity Determination with Digital Watermarking |
| title_sort | improving robustness of biometric identity determination with digital watermarking |
| url | http://dx.doi.org/10.1155/2016/6390741 |
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