Mr. Jelle van Mil Profile

Jelle van Mil

at TNO

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 28 October 2022 Presentation + Paper

Combatting fraud on travel, identity, and breeder documents

Henri Bouma, Jelle Van Mil, Johan-Martijn ten Hove, Raimon Pruim, Arthur van Rooijen, Alexander Kern, Luca Ballan, Ben Kromhout, Dominic Wolbers, Hans de Moel, Niels Dolstra, Gerton Bomhof, Demi de Rooij

Proceedings Volume 12275, 122750B (2022) https://doi.org/10.1117/12.2637416

KEYWORDS: Artificial intelligence, Optical character recognition, Printing, Sensors, Data modeling, Binary data, Inkjet technology, New and emerging technologies, Performance modeling, Laser engraving, Visualization

Read Abstract +

Proceedings Article | 28 October 2022 Presentation + Paper

Federated tool for anonymization and annotation in image data

Sabina van Rooij, Henri Bouma, Jelle van Mil, Johan-Martijn ten Hove

Proceedings Volume 12275, 122750E (2022) https://doi.org/10.1117/12.2637420

KEYWORDS: Data modeling, Sensors, Performance modeling, Artificial intelligence, Human-machine interfaces, Computer architecture, Video, Legal, Detection and tracking algorithms, Computer security

Read Abstract +

Proceedings Article | 12 September 2021 Presentation + Paper

Authentication of travel and breeder documents

Henri Bouma, Armin Reuter, Patrick Brouwer, Martin George, James Ferryman, Jonathan Boyle, Alfonsas Juršėnas, Anni Karinsalo, Raimon Pruim, Arthur van Rooijen, Johan-Martijn ten Hove, Jelle Van Mil, Damjan Gicic, Gabriel Goller, Eimantas Ledinauskas, Julius Ruseckas, Ben Kromhout, Hans de Moel, Niels Dolstra

Proceedings Volume 11869, 118690G (2021) https://doi.org/10.1117/12.2598143

KEYWORDS: Printing, Visualization, Scanners, Inspection, Information security, Light sources, Databases, Computer security, Video, Image processing, Artificial intelligence, Convolutional neural networks, Document image analysis, Border security

Read Abstract +

Authentication of travel documents (e.g., passports) and breeder documents (e.g., birth certificates) is important to facilitate legal movement of passengers and to prevent cross-border crime, such as terrorism, smuggling, illegal migration and human trafficking. However, it is time consuming and difficult to verify all security features, the border guards differ in experience and expertise, and it is hard to stay alert every minute of a working day. New (artificial-intelligence based) technologies can assist in the automated fraud detection in travel and breeder documents, which may lead to faster and more consistent checks. This paper presents five categories of new technologies in automated document authentication to overcome the limitations of current document analysis systems in automated and non-automated border control scenarios. The first category consists of techniques related to the verification of visual security features on the holder page of travel documents. This category includes the verification of KINEGRAMs and other Optically Variable features under different light sources and lighting angles, and the analysis of printing techniques. The second category consists of techniques related to the analysis of breeder documents. This analysis can be at detail level (e.g., investigation of stamps) and at tactical level (e.g., verification of a check digit in a document number). The third category concerns the analysis of travel patterns, using information from the visa pages in passports. The stamps on these pages can be used to extract a travel pattern to support risk assessments and to detect anomalies. The fourth category is an analysis of the border-guard inspection history based upon a distributed ledger and blockchain technology that enables secure storage and prevents undesired manipulations. The last category analyzes the electronic chip of a passport. The software analyses document signer and country signer certificates on the chip to detect vulnerable cryptographic keys and tactical anomalies.