After we preprocess and segment all possible parts of an image, we now need to decide whether each segment is (or is not) a license plate. To do this, we will use an SVM algorithm.
An SVM is a pattern recognition algorithm included in a family of supervised learning algorithms that was originally created for binary classification. Supervised learning is the machine learning algorithm technique that is trained with labeled data. We need to train the algorithm with an amount of data that is labeled; each dataset needs to have a class.
The SVM creates one or more hyperplanes, which are used to discriminate each class of data.
A classic example is a 2D point set that defines two classes; the SVM searches the optimal line that differentiates ...
