Added a file that uses the dilate function and a line structuring element which is vertical and very long to fill up the holes that are there in road signs which have a cross across them, the prohibitory signs
Added a file readNN which finds the features from images in one directory and writes it to an output matrix
Added a function in the fature extraction module to find the features for any input matrix and return a column matrix with 25 rows
Added another module class-recog-neural-net, which contains the code to generate the input, target and sampler matrix for a neural network that will classify the incoming image into circular clean, circular prohibitory and triangular images
Edited the presentation. Almost completed presentation.

Tested the shape recognising module with a blob extracted from a real
image, but that did not work. Will have to work on it more.