Smartphone camera document detection via Geodesic Object Proposals

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.