A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
This paper deals with signature based document retrieval from documents with cluttered background. Here, a signature object is characterized by spatial features computed from recognition result of background blobs. The background blobs are computed by analyzing character holes and water reservoir zones in different directions. For the indexation purpose, a codebook of the background blobs is created using a set of training data. Zernike Moment feature is extracted from each blob and a K-Meandoi:10.1109/icfhr.2012.270 dblp:conf/icfhr/RoyBPR12 fatcat:n4vtsh24qvgsfjs7yavrp44w5i