A system for automatically reading IATA flight coupons
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Text/Graphics Separation Revisited
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Automatic Verification System for Seal Imprints on Japanese Bankchecks
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Graphics Recognition - from Re-engineering to Retrieval
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Automatic Seal Information Reader
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
Word and Symbol Spotting Using Spatial Organization of Local Descriptors
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Multi-Oriented and Multi-Sized Touching Character Segmentation Using Dynamic Programming
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
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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.