Details

Autor(en) / Beteiligte

• Wenjing Jia
• Huaifeng Zhang
• Xiangjian He

Titel

Mean shift for accurate number plate detection

Ist Teil von

• Third International Conference on Information Technology and Applications (ICITA'05), 2005, Vol.1, p.732-737 vol.1

Ort / Verlag

IEEE

Erscheinungsjahr

2005

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore

Beschreibungen/Notizen

• This paper presents a robust method for number plate detection, where mean shift segmentation is used to segment color vehicle images into candidate regions. Three features are extracted in order to decide whether a candidate region contains a number plate, namely, rectangularity, aspect ratio, and edge density. Then, the Mahalanobis classifier is used with respect to the above three features to detect number plate regions accurately. The experimental results show that our algorithm produces high robustness and accuracy.