License Plate Detection Based on Rectangular Features and Multilevel Thresholding
Published in 2016 IPCV., 2016
Recommended citation: Ihsan Ullah et al. (2016). License Plate Detection Based on Rectangular Features and Multilevel Thresholding; 2016 IPCV.. 1(1). https://ihsan149.github.io/files/c7.pdf
Rapid advancement of technology in artificial intelligence and computer science knowledge and then feel the need to search and secure automated systems are because of the appearance of intelligent systems based on image processing and spread this knowledge. One of these intelligent systems is license plate recognition (LPR) system. LPR plays an important role in intelligent transportation system; however, plate region extraction is the key step before the final recognition. In this paper, an effective license plate extraction algorithm is proposed based on geometrical features and multilevel thresholding to identify and segment the license plate from the image. Experimental results show that the technique achieved promising accuracy.
#Proposed Framework and Examples #