Presentation 2011-03-11
Recognition of Characters in Scenes by Using Geometric Contexts of Local Features
Takuya KOBAYASHI, Masakazu IWAMURA, Koichi KISE,
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Abstract(in English) If you can get useful information from a character image in scene you take with your camera, all you have to do is release the shutter and you can save time. In order to realize such a system, we have to propose a character recognition system such that it can correctly find the character area from the scene image and recognize it. In this paper, we propose two methods to achieve it, which consider geometric contexts of local features. We had a utmost 84.3% recall and 97.0% precision in character recognition experiments we had.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Characters Recognition / Local Feature / SIFT / ANN / RANSAC
Paper # PRMU2010-275
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Conference Information
Committee PRMU
Conference Date 2011/3/3(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Recognition of Characters in Scenes by Using Geometric Contexts of Local Features
Sub Title (in English)
Keyword(1) Characters Recognition
Keyword(2) Local Feature
Keyword(3) SIFT
Keyword(4) ANN
Keyword(5) RANSAC
1st Author's Name Takuya KOBAYASHI
1st Author's Affiliation School of Engineering, Osaka Prefecture University()
2nd Author's Name Masakazu IWAMURA
2nd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
3rd Author's Name Koichi KISE
3rd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
Date 2011-03-11
Paper # PRMU2010-275
Volume (vol) vol.110
Number (no) 467
Page pp.pp.-
#Pages 6
Date of Issue