Patent · US Active

Coarse-to-fine cascade adaptations for license plate recognition with convolutional neural networks

US9785855B2 · kind B2 · utility

16Cited by

7References

20Claims

0Family size

Assignee

Conduent Business Services, LLC · US

Inventors

Albert Gordo Soldevila · Grenoble, FR
Jon Almazan · Grenoble, FR

Key dates

Filing date	Dec 17, 2015
Grant date	Oct 10, 2017
Priority date	—
Expiry date	Dec 17, 2035

Classification

Technology area (CPC G)Physics
CPC primaryG06V30/10
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods and systems for license plate recognition utilizing a trained neural network. In an example embodiment, a neural network can be subject to operations involving iteratively training and adapting the neural network for a particular task such as, for example, text recognition in the context of a license plate recognition application. The neural network can be trained to perform generic text recognition utilizing a plurality of training samples. The neural network can be applied to a cropped image of a license plate in order to recognize text and produce a license plate transcription with respect to the license plate. An example of such a neural network is a CNN (Convolutional Neural. Network).

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.