In this paper we present SITT, a simple robust scaleinvariant text feature
detector for document mosaicing. Digital image stitching has been studied for
several decades. SIFT-Features in combination with RANSAC algorithm are
established to produce good panoramas. The main problem of realtime text
document stitching is the size of the feature set created by SIFT-Features. We
introduce SITT-Features to solve this problem. Our experiments denote that for
document images SITT-Features produce faster good results than SIFT-Features.