In order to detect licence we will use Mask rcnn deep learning object detection architecture based on convolution neural [login to view URL] rcnn is a single network trained end to end to perform a regression task predicting both object bounding box and object class.
This network is extremely fast, it processes images in real-time at 45 frames per second. A smaller version of the network, Fast Rcnn, processes an astounding 155 frames per second. The input is the image of the plate, we will have to be able to extract the unicharacter images. The result of this step, being used as input to the recognition phase, is of great importance. In a system of automatic reading of number plates.
Segmentation is one of the most important processes for the automatic identification of license plates, because any other step is based on it. If the segmentation fails, recognition phase will not be [login to view URL] ensure proper segmentation, preliminary processing will have to be performed.