A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A vector space model for automatic indexing
Communications of the ACM
Modern Information Retrieval
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Indexing and retrieval of words in old documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Indexing and Retrieval of On-line Handwritten Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
A search engine for historical manuscript images
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Boosted decision trees for word recognition in handwritten document retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Word spotting for historical documents
International Journal on Document Analysis and Recognition
Automatic index creation for handwritten notes
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Processing and retrieving handwritten medical forms
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Extraction of handwritten text from carbon copy medical form images
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Handwritten document retrieval strategies
Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
Text retrieval from early printed books
Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
A keyword spotting approach using blurred shape model-based descriptors
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
A synthesised word approach to word retrieval in handwritten documents
Pattern Recognition
Keyword spotting in unconstrained handwritten Chinese documents using contextual word model
Image and Vision Computing
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Keyword retrieval in handwritten document images is a challenging task because handwriting recognition does not perform adequately to produce the transcriptions, specially when using large lexicons. Existing methods build indices using OCR distances or image features for the purpose of retrieval. These alternative methods are complimentary to the traditional approaches that build indices on OCR'ed text. In this paper, we describe an improvement to the existing keyword retrieval (word spotting) methods by modeling imperfect word segmentation as probabilities and integrating these probabilities into the word spotting algorithm. The scores returned by the word recognizer are also converted into probabilities and integrated into the probabilistic word spotting model.