Automatic detection of text zones on identity documents.



Our goal is to detect text zones on any type of identity documents from any country and that are recorded by smartphones cameras. Hence, we may segment latin letterscyrillic letters or ideograms. Moreover, some identity papers have watermarks or letters as background pattern that should be filtered. Furthermore, the context of the video (luminosity, background, ldots) has to be taken into account, in order to ensure that the binarized image has a minimal number of components to filter. In this way, the proposed processing, thanks to morphological operatorssegments the text and limits the number of components to process.