Language Identification in Degraded and Distorted Document Images
Identifieur interne : 001052 ( Main/Exploration ); précédent : 001051; suivant : 001053Language Identification in Degraded and Distorted Document Images
Auteurs : Shijian Lu [Singapour] ; Lim Tan [Singapour] ; Weihua Huang [Singapour]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: This paper presents a language identification technique that differentiates Latin-based languages in degraded and distorted document images. Different from the reported methods that transform word images through a character shape coding process, our method directly captures word shapes with the local extremum points and the horizontal intersection numbers, which are both tolerant of noise, character segmentation errors, and slight skew distortions. For each language studied, a word shape template and a word frequency template are firstly constructed based on the proposed word shape coding scheme. Identification is then accomplished based on Bray Curtis or Hamming distance between the word shape code of query images and the constructed word shape and frequency templates. Experiments show the average identification rate upon eight Latin-based languages reaches over 99%. ...
Url:
DOI: 10.1007/11669487_21
Affiliations:
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Different from the reported methods that transform word images through a character shape coding process, our method directly captures word shapes with the local extremum points and the horizontal intersection numbers, which are both tolerant of noise, character segmentation errors, and slight skew distortions. For each language studied, a word shape template and a word frequency template are firstly constructed based on the proposed word shape coding scheme. Identification is then accomplished based on Bray Curtis or Hamming distance between the word shape code of query images and the constructed word shape and frequency templates. Experiments show the average identification rate upon eight Latin-based languages reaches over 99%. ...</div></front></TEI><affiliations><list><country><li>Singapour</li></country><orgName><li>Université nationale de Singapour</li></orgName></list><tree><country name="Singapour"><noRegion><name sortKey="Lu, Shijian" sort="Lu, Shijian" uniqKey="Lu S" first="Shijian" last="Lu">Shijian Lu</name></noRegion><name sortKey="Huang, Weihua" sort="Huang, Weihua" uniqKey="Huang W" first="Weihua" last="Huang">Weihua Huang</name><name sortKey="Huang, Weihua" sort="Huang, Weihua" uniqKey="Huang W" first="Weihua" last="Huang">Weihua Huang</name><name sortKey="Lu, Shijian" sort="Lu, Shijian" uniqKey="Lu S" first="Shijian" last="Lu">Shijian Lu</name><name sortKey="Tan, Lim" sort="Tan, Lim" uniqKey="Tan L" first="Lim" last="Tan">Lim Tan</name><name sortKey="Tan, Lim" sort="Tan, Lim" uniqKey="Tan L" first="Lim" last="Tan">Lim Tan</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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