ABSTRACT
Chagas disease, also known as American trypanosomiasis is
one of the consequences of the human infection caused by the
flagellate protozoan called Trypanosoma cruzi transmitted
by the barbeiro of the subfamily Triatominae known as triatomines.
In the Lower Tocantins region of the state of Para,
three genera of barbers transmitting the disease are found.
Searching for a way to automate the manual recognition process,
this work aimed to implement a Model of Recognition
and Classification of Images of barbers found in the Lower
Tocantins region in order to recognize the genus of the insect
through the use of Artificial Neural Networks Perceptron
Multi-layered and performing training with Backpropagation
algorithm, helping to identify the transmitters. In the
middle of this recognition, the Digital Image Processing is
performed to extract important characteristics relevant to the
classification. This entire process is performed in MATLAB
software through scripts and the creation of the Artificial
Neural Network in the toolbox called Pattern Recognition
App.