ABSTRACT
This article presents the implementation of an identification system of geometric figures and their respective
colors, this made with neural networks by using Backpropagation control implementation. This paper describes
the process of extracting characteristic patterns of images, with the help of Artificial Neural Networks. The
information Neuronal Network along with additional data of images and colors, will be stored in a database which
will be put dynamic that will evolve with the figures they will be learning this by implementing a PID created in
MATLAB Software. Subsequent to perform image capture with an independent PC WEBCAM. This processes
the image and along with the data acquired and processed by the neural network in the pattern of shapes and
colors. For image processing libraries MATLAB be used both in the implementation of a system acquisition by
WEBCAM.
Keywords: - Artificial Neural Network, Pattern Recognition , Artificial Intelligence.