Towards Facial Biometrics for ID Document Validation in Mobile Devices
Various modern security systems follow a tendency to simplify the usage of the existing biometric recognition solutions and embed them into ubiquitous portable devices. In this work, we continue the investigation and development of our method for securing identification documents. The original facia...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/13/6134 |
| _version_ | 1797528092874375168 |
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| author | Iurii Medvedev Farhad Shadmand Leandro Cruz Nuno Gonçalves |
| author_facet | Iurii Medvedev Farhad Shadmand Leandro Cruz Nuno Gonçalves |
| author_sort | Iurii Medvedev |
| collection | DOAJ |
| description | Various modern security systems follow a tendency to simplify the usage of the existing biometric recognition solutions and embed them into ubiquitous portable devices. In this work, we continue the investigation and development of our method for securing identification documents. The original facial biometric template, which is extracted from the trusted frontal face image, is stored on the identification document in a secured personalized machine-readable code. Such document is protected from face photo manipulation and may be validated with an offline mobile application. We apply automatic methods of compressing the developed face descriptors to make the biometric validation system more suitable for mobile applications. As an additional contribution, we introduce several print-capture datasets that may be used for training and evaluating similar systems for mobile identification and travel documents validation. |
| first_indexed | 2024-03-10T09:53:12Z |
| format | Article |
| id | doaj.art-c592e4f291df42f4b606796f420b211b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T09:53:12Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c592e4f291df42f4b606796f420b211b2023-11-22T02:34:11ZengMDPI AGApplied Sciences2076-34172021-07-011113613410.3390/app11136134Towards Facial Biometrics for ID Document Validation in Mobile DevicesIurii Medvedev0Farhad Shadmand1Leandro Cruz2Nuno Gonçalves3Institute of Systems and Robotics, University of Coimbra, R. Silvio Lima, 3030-194 Coimbra, PortugalInstitute of Systems and Robotics, University of Coimbra, R. Silvio Lima, 3030-194 Coimbra, PortugalInstitute of Systems and Robotics, University of Coimbra, R. Silvio Lima, 3030-194 Coimbra, PortugalInstitute of Systems and Robotics, University of Coimbra, R. Silvio Lima, 3030-194 Coimbra, PortugalVarious modern security systems follow a tendency to simplify the usage of the existing biometric recognition solutions and embed them into ubiquitous portable devices. In this work, we continue the investigation and development of our method for securing identification documents. The original facial biometric template, which is extracted from the trusted frontal face image, is stored on the identification document in a secured personalized machine-readable code. Such document is protected from face photo manipulation and may be validated with an offline mobile application. We apply automatic methods of compressing the developed face descriptors to make the biometric validation system more suitable for mobile applications. As an additional contribution, we introduce several print-capture datasets that may be used for training and evaluating similar systems for mobile identification and travel documents validation.https://www.mdpi.com/2076-3417/11/13/6134artificial neural networksbiometricsdocument handlingface recognition |
| spellingShingle | Iurii Medvedev Farhad Shadmand Leandro Cruz Nuno Gonçalves Towards Facial Biometrics for ID Document Validation in Mobile Devices Applied Sciences artificial neural networks biometrics document handling face recognition |
| title | Towards Facial Biometrics for ID Document Validation in Mobile Devices |
| title_full | Towards Facial Biometrics for ID Document Validation in Mobile Devices |
| title_fullStr | Towards Facial Biometrics for ID Document Validation in Mobile Devices |
| title_full_unstemmed | Towards Facial Biometrics for ID Document Validation in Mobile Devices |
| title_short | Towards Facial Biometrics for ID Document Validation in Mobile Devices |
| title_sort | towards facial biometrics for id document validation in mobile devices |
| topic | artificial neural networks biometrics document handling face recognition |
| url | https://www.mdpi.com/2076-3417/11/13/6134 |
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