SEE-LPR: A Semantic Segmentation Based End-to-End System for Unconstrained License Plate Detection and Recognition.
Dongqi TangHao KongXi MengRuo-Ze LiuTong LuPublished in: MMM (1) (2020)
Keyphrases
- license plate detection
- end to end
- license plate
- semantic segmentation
- character recognition
- automatic recognition
- binary images
- conditional random fields
- vehicle detection
- superpixels
- template matching
- shape detection
- object categories
- object recognition
- edge information
- scene classification
- texture information
- object class
- weakly supervised
- real time
- object classes
- image set
- computer vision