i'm trying to identify numbers and letters in license plate. License plate images are taken at different lighting condtion and converted to gray image. My concern with type of data for training is:
- Since they are taken at different lighthing condition, gray image have different pixel intensity for same number. Which means, i have to get many training data for different lighting condition to train.
- They lack enough pixel information since only edge is white while others(background) are black. So i think they will be very weak for translational difference like shearing or shifting.
I want to get some information about which type of image is better for training number in different lighting condition. I wish to use edge image if they don't differ much since i can prepare edge image right now.