Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICDAR.2007.4378677
DC Field | Value | |
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dc.title | A fast keyword-spotting technique | |
dc.contributor.author | Li, L. | |
dc.contributor.author | Lu, S. | |
dc.contributor.author | Chew, L.T. | |
dc.date.accessioned | 2013-07-04T08:34:02Z | |
dc.date.available | 2013-07-04T08:34:02Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Li, L.,Lu, S.,Chew, L.T. (2007). A fast keyword-spotting technique. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 1 : 68-72. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICDAR.2007.4378677" target="_blank">https://doi.org/10.1109/ICDAR.2007.4378677</a> | |
dc.identifier.isbn | 0769528228 | |
dc.identifier.issn | 15205363 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/41715 | |
dc.description.abstract | In order to capture the content of an imaged document but avoid the time-consuming full-scale OCR which is fragile to handle touching characters, a fast and segmentation-free keyword spotting method is proposed in this paper. The keyword spotting method is based on word shape coding technique. The proposed coding scheme has little ambiguity, and can be swiftly executed. It is a promising technique to boost better document image retrieval. The strength of the proposed method is demonstrated in a document filtering experiment. The experimental results show that document filtering based on the proposed method is more than 20 times faster than the one based on OCR, and has comparable filtering accuracy. © 2007 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICDAR.2007.4378677 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1109/ICDAR.2007.4378677 | |
dc.description.sourcetitle | Proceedings of the International Conference on Document Analysis and Recognition, ICDAR | |
dc.description.volume | 1 | |
dc.description.page | 68-72 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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