Automatic License/Number Plate Recognition
The service allows you to find and read license plates on vehicles.
Main features:
- Accurate finding of 4 points of the number/licence plates
- Highly accuracy for different angles
- Recognition of 2 and 3 linear license plates
- Classification of license plate country format
- Inference up to 1 second
ALPR/ANPR Online DEMO
Right now you can try Nomeroff Net Professional for free Examples of images with number plates.
ALPR/ANPR (Automatic License/Number Plate Recognition) Examples
We can currently recognize all of the number plate examples below. All of these formats are included in our datasets, for other countries we cannot guarantee good recognition quality. Also, with the help of our service, you can get the license plate format, but currently it works only for post USSR countries "ua", "ru", "kz", "ge", "by", "su" for all others, the region will be determined "eu". We are currently working on adding a classification for all supported countries.
Albania | AL
AndorrA | AD
Armenia | AM
Austria | AT
Belarus | BY
Belgium | BE
Bosnia and Herzegovina | BA
Bulgaria | BG
Croatia | HR
Cyprus | CY
Czech Republic | CZ
Denmark | DK
Estonia | EE
Finland | FI
France | FR
Georgia | GE
Germany | DE
Gibraltar | GI
Greece | GR
Guernsey | GG
Hungary | HU
Iceland | IS
Ireland | IE
Italy | IT
Kazakhstan | KZ
Kyrgyzstan | KG
Latvia | LV
Liechtenstein | LI
Lithuania | LT
Luxembourg | LU
Macedonia, The Former Yugoslav Republic of | MK
Malta | MT
Moldova, Republic of | MD
Monaco | MC
Netherlands | NL
Norway | NO
Poland | PL
Portugal | PT
Romania | RO
Russian Federation | RU
San Marino | SM
Serbia | RS
Montenegro | ME
Slovakia | SK
Slovenia | SI
Spain | ES
Sweden | SE
Switzerland | CH
Ukraine | UA
United Kingdom | UK
About Nomeroff Net Professional
The automatic licence plate recognition system is widely available on the network, but most service providers cannot read license plates that are photographed at a significant angle, or in such a way that the number plate photo has non-linear distortions, we also learned to recognize license plates that are written in Cyrillic. Users of the online classifieds of the AUTO.RIA.com project, for whom the license plate recognition system was created, uploaded photos of different quality and different angles, so we have been constantly improving our models for about 5 years and have made significant progress in this field, so our service is suitable for demanding users.
There is an opensource version of Nomeroff Net that you can try to configure and use yourself. If you prefer simple interaction with the service, do not want to allocate additional resources to the recognition process, and want to have access to models with improved quality, you can use Nomeroff Net Professional.