Text detection in personal image collections

Abstract

We present a novel text detection technique for the application of image annotation in databases of consumer pictures and videos. Images are annotated using information only from the picture itself, as a regular consumer would do. We present results using the challenging public ICDAR2003 dataset and show that our algorithm is competitive with respect to state-of-the-art.