Abstract
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.
Highlights
Document security has been an important issue since the appearance of the first documents and banknotes
We extend that approach to several other datasets that contain frontal face images complied with travel document standards [4] (Utrecht [30] and AR [31]), including various level of acquisition parameter variations
Travel documents by augmenting them with a secured facial biometric template to be encoded in the machine-readable code
Summary
Document security has been an important issue since the appearance of the first documents and banknotes. Physical documents are still the first and ultimate authentication method and that is why their protection against spoofing attacks is important. Since the face image is one of the most important biometric components of ID and travel documents, its security is a prominent concern for official issuing organizations [1]. Facial recognition technology impacts the overall security, allowing to automate ID document validation. The pipeline of this process usually follows the differential scenario, which implies that, during the verification procedure, the trusted reference is available
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