%0 Conference Proceedings
%T Seal Object Detection in Document Images using GHT of Local Component Shapes
%A Partha Pratim Roy
%A Umapada Pal
%A Josep Llados
%B 10th ACM Symposium On Applied Computing
%D 2010
%F Partha Pratim Roy2010
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1291), last updated on Fri, 28 Feb 2014 09:54:51 +0100
%X Due to noise, overlapped text/signature and multi-oriented nature, seal (stamp) object detection involves a difficult challenge. This paper deals with automatic detection of seal from documents with cluttered background. Here, a seal object is characterized by scale and rotation invariant spatial feature descriptors (distance and angular position) computed from recognition result of individual connected components (characters). Recognition of multi-scale and multi-oriented component is done using Support Vector Machine classifier. Generalized Hough Transform (GHT) is used to detect the seal and a voting is casted for finding possible location of the seal object in a document based on these spatial feature descriptor of components pairs. The peak of votes in GHT accumulator validates the hypothesis to locate the seal object in a document. Experimental results show that, the method is efficient to locate seal instance of arbitrary shape and orientation in documents.
%U http://dl.acm.org/citation.cfm?doid=1774088.1774094
%U http://dx.doi.org/10.1145/1774088.1774094
%P 23–27