Ground truth creation for handwriting recognition in historical documents
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
A keyword spotting approach using blurred shape model-based descriptors
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Image processing for historical newspaper archives
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Ranking fusion methods applied to on-line handwriting information retrieval
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Lexicon-free handwritten word spotting using character HMMs
Pattern Recognition Letters
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This paper presents a word spotting method based on line-segmentation, sliding window, continuous dynamic programming, and slit style HOG feature. Our method is applicable regardless of what language is written in the manuscript because it does not require any language-dependent preprocess. The slit style HOG feature is a gradient-distribution-based feature with overlapping normalization and redundant expression, and the use of this feature improved the performance of the word spotting. We compared our method with some previously developed word spotting methods, and confirmed that our method outperforms them in both English and Japanese manuscripts.