Information Retrieval from Documents: A Survey
Information Retrieval
Word Searching in Document Images Using Word Portion Matching
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Indexing and Retrieval of On-line Handwritten Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Information Retrieval in Document Image Databases
IEEE Transactions on Knowledge and Data Engineering
A Scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Eigenspace Method for Text Retrieval in Historical Document Images
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Omnilingual Segmentation-freeWord Spotting for Ancient Manuscripts Indexation
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Text search for medieval manuscript images
Pattern Recognition
Towards an omnilingual word retrieval system for ancient manuscripts
Pattern Recognition
Handwritten word-spotting using hidden Markov models and universal vocabularies
Pattern Recognition
Unsupervised writer adaptation of whole-word HMMs with application to word-spotting
Pattern Recognition Letters
Towards more effective distance functions for word image matching
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
A line-based representation for matching words in historical manuscripts
Pattern Recognition Letters
User-assisted alignment of Arabic historical manuscripts
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing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Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
From handwriting recognition to ontologie-based information extraction of handwritten notes
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
Lexicon-free handwritten word spotting using character HMMs
Pattern Recognition Letters
Automatic keyword extraction from historical document images
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Synthesizing queries for handwritten word image retrieval
Pattern Recognition
Using Lucene to index and search the digitized 1940 US census
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
Robust text and drawing segmentation algorithm for historical documents
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Contextual word spotting in historical manuscripts using Markov logic networks
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Bridging the gap between handwriting recognition and knowledge management
Pattern Recognition Letters
Learning-based word spotting system for Arabic handwritten documents
Pattern Recognition
Statistical script independent word spotting in offline handwritten documents
Pattern Recognition
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There are many historical manuscripts written in a single hand which it would be useful to index. Examples include the W. B. DuBois collection at the University of Massachusetts and the early Presidential libraries at the Library of Congress. Since Optical Character Recognition (OCR) does not work well on handwriting, an alternative scheme based on matching the images of the words is proposed for indexing such texts. The current paper deals with the matching aspects of this process. Two different techniques for matching words are discussed. The first method matches words assuming that the transformation between the words may be modelled by a translation (shift). The second method matches words assuming that the transformation between the words may be modelled by an affine transform. Experiments are shown demonstrating the feasibility of the approach for indexing handwriting. The method should also be applicable to retrieving previously stored material from personal digital assistants (PDAs).