Segmentation-free word spotting using SIFT
Duk-Ryong Lee, Wonju Hong, Il-Seok Oh · 2012
This paper presents a method for word spotting using SIFT. The method performs well for multi-lingual document images and it works without skew correction and without any segmentation process. The algorithm for detecting words in test images is described, including the processes of detecting keypoints, matching them, and clustering matching pairs. Experiments on English and Korean document image collections showed that the proposed method is promising.