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 ...

• Type: Conference
• Year: 2010
• Where: SAC
• Authors: Partha Pratim Roy, Umapada Pal, Josep Lladós
• Keywords: Applied Computing, SAC 2010, Seal, Seal Object, Spatial Feature Descriptor