Sciweavers

Share
SAC
2010
ACM

Seal object detection in document images using GHT of local component shapes

10 years 6 months ago
Seal object detection in document images using GHT of local component shapes
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 multioriented 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. Keywords Graphical ...
Partha Pratim Roy, Umapada Pal, Josep Lladó
Added 17 May 2010
Updated 17 May 2010
Type Conference
Year 2010
Where SAC
Authors Partha Pratim Roy, Umapada Pal, Josep Lladós
Comments (0)
books