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14 June 2000 Optical/digital identification/verification system based on digital watermarking technology
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Proceedings Volume 4148, Optoelectronic and Hybrid Optical/Digital Systems for Image and Signal Processing; (2000) https://doi.org/10.1117/12.388440
Event: International Workshop on Optoelectronic and Hybrid Optical/Digital Systems for Image/Signal Processing, 1999, Lviv, Ukraine
Abstract
This paper presents a new approach for the secure integrity verification of driver licenses, passports or other analogue identification documents. The system embeds (detects) the reference number of the identification document with the DCT watermark technology in (from) the owner photo of the identification document holder. During verification the reference number is extracted and compared with the reference number printed in the identification document. The approach combines optical and digital image processing techniques. The detection system must be able to scan an analogue driver license or passport, convert the image of this document into a digital representation and then apply the watermark verification algorithm to check the payload of the embedded watermark. If the payload of the watermark is identical with the printed visual reference number of the issuer, the verification was successful and the passport or driver license has not been modified. This approach constitutes a new class of application for the watermark technology, which was originally targeted for the copyright protection of digital multimedia data. The presented approach substantially increases the security of the analogue identification documents applied in many European countries.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander Herrigel, Sviatoslav V. Voloshynovskiy, and Zenon D. Hrytskiv "Optical/digital identification/verification system based on digital watermarking technology", Proc. SPIE 4148, Optoelectronic and Hybrid Optical/Digital Systems for Image and Signal Processing, (14 June 2000); https://doi.org/10.1117/12.388440
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