Fourier transform based column-block and row-block matching procedure for document image mosaicing

There are situations where it is not possible to capture or scan a large document with given imaging media such as Xerox machine or scanner as a single image in a single exposure because of their inherent limitations. This results in capturing or scanning of large document into number of split components of a document. Hence, there is a lot of scope for mosaicing the several split images into a single large document image. In this work, we present a novel technique Fourier Transform (FT) based Column-Block (CB) and Row-Block (RB) matching procedure to mosaic the 4 two split images of a large document in order to build an original and single large document image. The FT is rarely used in the analysis of documents since it provides only the global information of the document. The global information doesn't help in analyzing the documents of split images since the mosaicing of split document images requires local information rather than global information. Hence, in this work, we explore a novel idea to obtain local values of the split documents by applying FT for smaller sized split documents of split document images. The proposed method assumes that the overlapping region is present at the fight end of split image I and the left end of split image 2. The overlapping region is a common region, which helps in mosaicing