Abstract
License plate matching plays an important role in applications like law enforcement, traffic management and road pricing, where the plate is first recognized and then compared to a database of authorized vehicle registration plates. Unfortunately, there are several privacy related issues that should be taken care of before deploying plate recognition systems. As a scientific solution to privacy concerns, we propose a simple and accurate character recognition scheme combined with an integer matching scheme that is designed to work with encrypted license plates. Our analysis and experimental results show that the deployment of such a system can be deemed possible.
Original language | English |
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Title of host publication | 24th European Signal Processing Conference, EUSIPCO 2016 |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 2116-2120 |
Number of pages | 5 |
ISBN (Electronic) | 978-0-9928-6265-7 |
DOIs | |
Publication status | Published - 2016 |
Event | EUSIPCO 2016: 24th European Signal Processing Conference - Budapest, Hungary Duration: 29 Aug 2016 → 2 Sept 2016 Conference number: 24 http://www.eusipco2016.org/ |
Conference
Conference | EUSIPCO 2016 |
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Abbreviated title | EUSIPCO |
Country/Territory | Hungary |
City | Budapest |
Period | 29/08/16 → 2/09/16 |
Internet address |
Keywords
- homomorphic encryption
- License plate matching
- character recognition
- secure signal processing
- cryptography