Automated license plate recognition system and method using human-in-the-loop based adaptive learning
US9092979B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2010 |
| Grant date | Jul 28, 2015 |
| Priority date | — |
| Expiry date | May 5, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/625
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An automated license plate recognition (ALPR) system and method using a human-in-the-loop based adaptive learning approach. One or more images with respect to an automotive vehicle can be segmented in order to determine a license plate of the automotive vehicle within a scene. An optical character recognition (OCR) engine loaded with an OCR algorithm can be further adapted to determine a character sequence of the license plate based on a training data set. A confidence level with respect to the images can be generated in order to route a low confidence image to an operator for obtaining a human interpreted image. The parameters with respect to the OCR algorithm can be adjusted based on the human interpreted image and the actual image of the license plate. A license plate design can be then incorporated into the OCR engine in order to automate the process of recognizing the license plate with respect to the automotive vehicle in a wide range of transportation related applications.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.