Smartphone camera document detection via Geodesic Object Proposals
Luciano Roberto da Silva Leal, Byron Leite Dantas Bezerra · 2016
Smartphones are enabling new ways of capture, hence arises the need for seamless and reliable acquisition of documents. We present an approach for identifying candidate document in a given image using Geodesic Object Proposals. The input images were downsampled to help to extract structures/features of interest and attenuate noise and increase runtime speed and accuracy. The results showed that it is promising to use Geodesic Object Proposals in document object detection task.