A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using hidden Markov modeling to decompose human-written summaries
Computational Linguistics - Summarization
Retrieval methods for English-text with missrecognized OCR characters
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Extraction of handwritten text from carbon copy medical form images
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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POSTER PAPER. This paper proposes an approach of indexing and retrieving degraded handwritten documents. We present a modified version of the popular Vector Model in information retrieval (IR). Our model incorporates top n candidates from a HR system into the scheme of calculating the term frequency (tf) and the inverted document frequency (idf). Standardized IR Tests show that the proposed approach outperforms the retrieval of ordinary HR text in terms of mean average precision (MAP) and R-Precision.