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Keyword spotting for cursive document retrieval

Keaton, Patricia and Greenspan, Hayit and Goodman, Rodney (1997) Keyword spotting for cursive document retrieval. In: Proceedings Workshop on Document Image Analysis (DIA'97). IEEE , Piscataway, NJ, pp. 74-81. ISBN 0818680555.

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We present one of the first attempts towards automatic retrieval of documents, in the noisy environment of unconstrained, multiple author handwritten forms. The documents were written in cursive script for which conventional OCR and text retrieval engines are not adequate. We focus on a visual word spotting indexing scheme for scanned documents housed in the Archives of the Indies in Seville, Spain. The framework presented utilizes pattern recognition, learning and information fusion methods, and is motivated from human word-spotting studies. The proposed system is described and initial results are presented.

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Additional Information:© 1997 IEEE. We would like to thank Victoria Carmona Vergara of Seville, Spain, and Kanna Shimizu for their help in generating our database of documents. This work was supported in part by ARPA and ONR grant no. N00014093-1-0990, Patricia Keaton is supported by a Hughes Doctoral Fellowship, and Hayit Greenspan is supported in part by and Intel research grant.
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Advanced Research Projects Agency (ARPA)UNSPECIFIED
Office of Naval Research (ONR)N00014093-1-0990
Hughes Research LaboratoriesUNSPECIFIED
Record Number:CaltechAUTHORS:20190429-151824702
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Official Citation:P. Keaton, H. Greenspan and R. Goodman, "Keyword spotting for cursive document retrieval," Proceedings Workshop on Document Image Analysis (DIA'97), San Juan, Puerto Rico, USA, 1997, pp. 74-81. doi: 10.1109/DIA.1997.627095
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:95087
Deposited By: George Porter
Deposited On:29 Apr 2019 23:18
Last Modified:16 Nov 2021 17:10

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