Licence plate detection and recognition

The main goal of the project is to make a model that will reveal the license plate on the picture of the car and read the digits from it. We will do this using two libraries; Object Detection to find a Region of Interest and Easy OCR to extract the text

Dataset

The data set contains 433 images (10% used for test set) and bounding box annotations of the car license plates (xml files).

Step 1

The first step is to detect and locate the license plate on the input image.

Step 2

Then we read the label from the detected license plate using the OCR tool.

Detection

Transfer learning

Tensorflow Object Detection API using pre-trained model

ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8

Trained on COCO dataset

Results

Results are mostly accurate with some mistakes on small plates and multi lined texts.

This is one of the accurate readings.

Future work

Detection:
    - Parameter tuning
    - Training

OCR:
    - Homography
    - Morphological operations

Presentation

Project presentation can be downloaded here.