Indexing and retrieval of handwritten medical forms

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.