Write Python script algorithms for license plate detection and license plate character recognition. Select three color images from the internet that meet the following requirements:

1.Two images containing vehicles with Russian license plates and one image of vehicles with a non-Russian plate.

2.All images should include the entire vehicle and not just the license plate.

3.At least one image with Russian plates should display the license plate far away.

4.At least one image should include multiple vehicles.

5.All images should vary in light illumination and color intensity.

First, using the appropriate trained cascade classifier Links to an external site., write one algorithm to detect the Russian license plate in the gray scaled versions of the original images. Put a red boundary box around the detected plate in the image in order to see what region the classifier deemed as a license plate. If expected results are not achieved on the unprocessed images, apply processing steps before implementing the classifier for optimal results.

After the license plates have been successfully detected, you will want to process only the extracted plate region before applying character recognition on it. Although the license plate number classifier Links to an external site.is fairly accurate, it is important that all license plates are rotated and scaled so that they are horizontally aligned. If expected results are not achieved, implement more image processing for optimal character recognition.

Inspect your results and write a summary describing the techniques you used to detect and identify characters of Russian license plates in images.