CARVALHO, E. A. U.; http://lattes.cnpq.br/8711026225008947; CARVALHO, Emmanuel Aires Urquiza de.
Resumo:
This study aims to develop a system to identify an automobile license plate receiving as
an input an image containing a picture of the vehicle. The system should detect the plate
in the image and recognize the characters. In order to do this, a bibliographic research
was carried out in computer vision, digital image processing and pattern recognition.
The Visual Studio programming environment, the library OpenCV and the software
Tesseract were the computational tools used to accomplish the objective. For the
detection of the plate in the image, a Haar training was applied. After detection, the
image of the plate was separated from the rest and processed and then submited to the
character recognition phase. The process of detection reached a precision of 50% and
one of the algorithms tested separated the image from the plate and its characters
adequately, however the character identifier produced results which were below the
expected threshold. The likely cause for that is that Tesseract needs to be trained in the
specific font used in the plates after image processing has been carried out.