Indexing Handwriting Using Word Matching (1996)
| Citations: | 16 - 7 self |
BibTeX
@MISC{Manmatha96indexinghandwriting,
author = {R. Manmatha and Chengfeng Han and E. M. Riseman and W. B. Croft},
title = {Indexing Handwriting Using Word Matching},
year = {1996}
}
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Abstract
There are many historical manuscripts written in a single hand which it would be useful to index. Examples include the W. B. DuBois collection at the University of Massachusetts and the early Presidential libraries at the Library of Congress. The standard technique for indexing documents is to scan them in, convert them to machine readable form (ASCII) using Optical Character Recognition (OCR) and then index them using a text retrieval engine. However, OCR does not work well on handwriting. Here an alternative scheme is proposed for indexing such texts. Each page of the document is segmented into words. The images of the words are then matched against each other to create equivalence classes (each equivalence classes contains multiple instances of the same word). The user then provides ASCII equivalents for say the top 2000 equivalence classes. The current paper deals with the matching aspects of this process. Due to variations in even a single person's handwriting, it is expected that...
Citations
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| 26 | S.: Video mail retrieval: the effect of word spotting accuracy on precision - Jones, Foote, et al. - 1995 |
| 23 | Word spotting: a new approach to indexing handwriting - Manmatha, Han, et al. - 1996 |
| 21 | Keyword location in noisy document image - Khoubyari, Hull - 1993 |
| 3 | Keyword Location in Noise Document Image - Khoubyari, Hull - 1993 |
