An Implementation of Outdoor Vehicle Localization and Tracking Using Automatic License Plate Recognition (ALPR)

2. Literature Review

The Applications of ALPR frame works are implemented with different detection method, segmentation method and recognition method. In that, numerous methods are created around this field. Here the rundown of the supported methods for ALPR frameworks utilized all around are portrayed. Here a couple of existing ALPR location strategies and calculation methods are examined. A. K. Ghosh et al.,(2011) uses the detection method with additional morphological operations(Raveendra et al., 2017)which includes sobel operator and the segmentation (Suryanarayana & Dhuli, 2017)is based on area filtering with feed forward neural network has a recognition method(Ghosh et al., 2011). R. A. Baten et al., (2015) Implements the recognition method with multilayer feed forward neural network. For projection analysis the horizontal and vertical segmentation method (Sasikala et al., 2019) is used and the edge analysis as a detection method(Baten et al., 2015). N. Saif et al., (2019) proposed the connected component technique for detection and template matching for recognition(Saif et al., 2019). P. Dhar et al.,(2018) Applied prewitt operators for detection which helps to segment the edges, the area filtering is practiced for segmentation and deep convolution neural network for recognition(Dhar et al., 2018).