Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDAR.2007.4378677
Title: A fast keyword-spotting technique
Authors: Li, L. 
Lu, S. 
Chew, L.T. 
Issue Date: 2007
Source: 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. https://doi.org/10.1109/ICDAR.2007.4378677
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.
Source Title: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
URI: http://scholarbank.nus.edu.sg/handle/10635/41715
ISBN: 0769528228
ISSN: 15205363
DOI: 10.1109/ICDAR.2007.4378677
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

10
checked on Dec 13, 2017

Page view(s)

58
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.