MOSAICING OF TEXT CONTENTS FROM ADJACENT VIDEO FRAMES

Incorporation of video facility in mobile devices has opened up various challenging research problems in the field of image processing. One such challenge is to mosaic video containing the document source. In this paper we propose an approach to mosaic the fragmented video frames containing text for the purpose of text localization and recognition by decomposing the fragmented frames into vertical strips and then matching the strips of consecutive frames to stitch the content. Similarity between strips are found using Scale Invariant Feature Transform - SIFT match algorithm as it is invariant to scale, rotation and geometric distortions like blurring / resampling of local image orientation planes. The process of blending the content of the matched strips is done with the help of a translation function on the best matched points estimated by homography using RANSAC were wrapped using translation function.