License Plate Recognition using Fast RCNN and OCR
In this Project we use many image segmentation techniques along with RCNN to detect license plates and read its number using OCR.We have implemented segmentation, machine learning and OCR all together in one code to get most accurate results for images. License Plate Recognition using Fast RCNN and OCR
To detect an License plate, many pre-treatment steps should be made before applying the first Region Convolution Neural Network (RCNN) model for the classification of plates / non-plates. Subsequently, we apply a few pre-processing steps to segment the LP and finally to recognize all the characters in upper case format (A-Z) and digits (0-9), using a ocr method with 37 classes.
The performance of the suggested system is tested on two datasets which contain images under various conditions, such as poor picture quality, image perspective distortion, bright day, night and complex environment.