Methods and systems for improved license plate signature matching by similarity learning on synthetic images
US8588470B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 18, 2011 |
| Grant date | Nov 19, 2013 |
| Priority date | — |
| Expiry date | Jun 4, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/625
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for improved license plate signature matching by similarity learning on synthetic images comprise generating a plurality of synthetic license plate images; applying one or more transformations to the synthetic license plate images to cause the synthetic license plate images to more closely resemble authentic license plate image captures; and providing the synthetic license plate images as inputs to a machine distance learning algorithm in which weighted similarity scores are calculated between signatures of analogous and non-analogous license plate images and one or more sets of signature weights are iteratively adjusted to increase the likelihood that comparing analogous license plate images results in high weighted signature similarity scores and comparing non-analogous license plate images results in low weighted signature similarity scores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.