Type of Publication

Journal Articles

Date:

7 /

2021

Status

Published

DOI:

10.3390/app11136134

Towards Facial Biometrics for ID Document Validation in Mobile Devices

Featured in:

Applied Sciences, 2021

Authors:

Iurii Medvedev, Farhad Shadmand, Leandro Cruz and Nuno Gonçalves

Abstract

Various modern security systems follow atendency 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.

Citation
Iurii Medvedev, Farhad Shadmand, Leandro Cruz and Nuno Gonçalves (2021). Towards facial biometrics for id document validation in mobile devices. Applied Sciences, 11(13), 6134. DOI: 10.3390/app11136134

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