TY  - JOUR
AU  - Partha Pratim Roy
AU  - Umapada Pal
AU  - Josep Llados
PY  - 2011//
TI  - Document Seal Detection Using Ght and Character Proximity Graphs
T2  - PR
JO  - Pattern Recognition
SP  - 1282
EP  - 1295
VL  - 44
IS  - 6
PB  - Elsevier
KW  - Seal recognition
KW  - Graphical symbol spotting
KW  - Generalized Hough transform
KW  - Multi-oriented character recognition
N2  - This paper deals with automatic detection of seal (stamp) from documents with cluttered background. Seal detection involves a difficult challenge due to its multi-oriented nature, arbitrary shape, overlapping of its part with signature, noise, etc. Here, a seal object is characterized by scale and rotation invariant spatial feature descriptors computed from recognition result of individual connected components (characters). Scale and rotation invariant features are used in a Support Vector Machine (SVM) classifier to recognize multi-scale and multi-oriented text characters. The concept of generalized Hough transform (GHT) is used to detect the seal and a voting scheme is designed for finding possible location of the seal in a document based on the spatial feature descriptor of neighboring component pairs. The peak of votes in GHT accumulator validates the hypothesis to locate the seal in a document. Experiment is performed in an archive of historical documents of handwritten/printed English text. Experimental results show that the method is robust in locating seal instances of arbitrary shape and orientation in documents, and also efficient in indexing a collection of documents for retrieval purposes.
UR  - http://dx.doi.org/10.1016/j.patcog.2010.12.004
N1  - DAG
ID  - Partha Pratim Roy2011
ER  -