Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
The nature of statistical learning theory
The nature of statistical learning theory
The Document Spectrum for Page Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text/Graphics Separation Revisited
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
A system for automatic Chinese seal imprint verification
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Automatic Seal Verification Using Three-Dimensional Reference Seals
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Automatic Verification System for Seal Imprints on Japanese Bankchecks
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Automatic Seal Verification by Evaluating Positive Cost
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Graphics Recognition - from Re-engineering to Retrieval
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Camera-Based Document Image Retrieval as Voting for Partial Signatures of Projective Invariants
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Generalizations of angular radial transform for 2D and 3D shape retrieval
Pattern Recognition Letters
Word spotting for historical documents
International Journal on Document Analysis and Recognition
Automatic Seal Information Reader
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
Retrieval of machine-printed Latin documents through Word Shape Coding
Pattern Recognition
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
A System to Segment Text and Symbols from Color Maps
Graphics Recognition. Recent Advances and New Opportunities
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
Logo Matching for Document Image Retrieval
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Registration of seal images using contour analysis
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
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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.