TY - GEN
T1 - Vector model based indexing and retrieval of handwritten medical forms
AU - Cao, Huaigu
AU - Govindaraju, Venu
PY - 2007
Y1 - 2007
N2 - A vector model based information retrieval of handwritten medical forms is presented in this paper. In order to improve the IR performance on the erroneous output of handwriting recognition (HR) systems, a variation of the vector model is made to estimate the number of occurrences of terms from word segmentation and recognition probabilities. IR Tests show that our approach outperforms the retrieval of ordinary HR text in terms of mean average precision (MAP), R-Precision, and interpolated 11-point precisions.
AB - A vector model based information retrieval of handwritten medical forms is presented in this paper. In order to improve the IR performance on the erroneous output of handwriting recognition (HR) systems, a variation of the vector model is made to estimate the number of occurrences of terms from word segmentation and recognition probabilities. IR Tests show that our approach outperforms the retrieval of ordinary HR text in terms of mean average precision (MAP), R-Precision, and interpolated 11-point precisions.
UR - https://www.scopus.com/pages/publications/48249156707
U2 - 10.1109/ICDAR.2007.4378681
DO - 10.1109/ICDAR.2007.4378681
M3 - Conference contribution
AN - SCOPUS:48249156707
SN - 0769528228
SN - 9780769528229
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 88
EP - 92
BT - Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
T2 - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
Y2 - 23 September 2007 through 26 September 2007
ER -