Keyword spotting for cursive document retrieval

P. Keaton*, H. Greenspan, R. Goodman

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review


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.

Original languageEnglish
Number of pages8
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 Workshop on Document Image Analysis, DIA - San Juan, Puerto Rico
Duration: 20 Jun 199720 Jun 1997


ConferenceProceedings of the 1997 Workshop on Document Image Analysis, DIA
CitySan Juan, Puerto Rico


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