Text Image Spotting Using Local Crowdedness and Hausdorff Distance
Identifieur interne : 001018 ( Main/Merge ); précédent : 001017; suivant : 001019Text Image Spotting Using Local Crowdedness and Hausdorff Distance
Auteurs : Hwa-Jeong Son [Corée du Sud] ; Sang-Cheol Park [Corée du Sud] ; Soo-Hyung Kim [Corée du Sud] ; Ji-Soo Kim [Corée du Sud] ; Gueesang Lee [Corée du Sud] ; Deokjai Choi [Corée du Sud]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: This paper investigates a Hausdorff distance, which is used for measurement of image similarity, to see whether it is also effective for document image retrieval. We proposed a method using a local crowdedness algorithm and a modified Hausdorff distance which has an ability of detection of partial text image in a document image. We found that the proposed method achieved a reliable performance of text spotting on postal envelops.
Url:
DOI: 10.1007/11931584_36
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