Hi, I have been working on OCR using the Neural Network toolbox but I have a few fundamental doubts. Suppose I have the following images of digits:--
Since the digits are of different sizes, will it affect the neural network training and simulation? What are the parameters that a neural network uses to recognise images(like size, pixel values, shape, alignment, etc)? Please advise.
The input to the net from a single image is just a column vector of numbers of dimension I obtained by feature extraction. The feature extraction of an image of size r x c can be complicated or as simple as columnisation via
input = image(:);
size(input) = [ I 1 ] = [ r*c 1 ]
Hope this helps.
Thank you for formally accepting my answer