Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDAR.2007.4377064
Title: Keyword spotting and retrieval of document images captured by a digital camera
Authors: Lu, S. 
Chew, L.T. 
Issue Date: 2007
Source: Lu, S.,Chew, L.T. (2007). Keyword spotting and retrieval of document images captured by a digital camera. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2 : 994-998. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDAR.2007.4377064
Abstract: This paper presents a keyword spotting technique that locates keywords within document images captured by a digital camera. In the proposed technique, the shape of word images in perspective view is captured by using three perspective invariants, namely, holes, water reservoirs, and character ascenders and descenders. Given a camera image of document, text line and word images are first segmented through the connected component analysis. The three perspective invariants are then detected through two rounds of scanning process, which transliterate each character image into a character shape code of dimension six and so convert each word image into a word shape code. Keywords within camera images of documents are finally located through a partial matching process. Experiments show some promising results.
Source Title: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
URI: http://scholarbank.nus.edu.sg/handle/10635/41878
ISBN: 0769528228
ISSN: 15205363
DOI: 10.1109/ICDAR.2007.4377064
Appears in Collections:Staff Publications

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