Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; 07,02
005 Computer programming, programs, data
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.
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