Research on the License Plate Recognition Based on BP Neural Network Algorithm
The feature extraction and recognition of the license plate plays a very important role in the modern intelligent transportation system. Uses two main steps to deal with the license plate: the first is the image preprocessing part, including the location and extraction of license plate image, grayscale, tilt correction, binarization, character segmentation, size normalization and rearrangement. The second is the fea-ture extraction and recognition part, gets the number of pixels of 9 regions and Double horizontal and vertical lines for the three-layer 13-8-7 BP neural network that is trained offline to recognize the characters of the license plate. We achieve good recognition results in the MATLAB simulation environment.
NETL
NSTL
万方数据
维普
