Presentation 1998/12/18
Character Recognition in Bookshelf Images Template Learning
Minako Sawaki, Hiroshi Murase, Norihiro Hagita,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a method for recognizing low-quality characters in scene images captured by a digital camera. Characters degraded by different illuminatio conditions and intensity variation are hardly recognized when templates with an individual character is used. Especially, small characters as'l'or'r'are hardly recognized. To cope with the problem on such degradation, this paper employs the displacement matching and templates with neighboring characters of a focused character. The templates including information on neighboring characters of a focused one improve the recognition accuracy for these degraded characters. Also, the displacement matching reduces segmentation error caused by degradation. Experiments with 3, 468 characters in 9 images show that this method achieves a recognition rate of 96.3%, higher than 88.4% of templates without neighboring characters.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) character recognition / scene image / template learning / bookshelf image
Paper # PRMU98-155
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Conference Information
Committee PRMU
Conference Date 1998/12/18(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) Character Recognition in Bookshelf Images Template Learning
Sub Title (in English)
Keyword(1) character recognition
Keyword(2) scene image
Keyword(3) template learning
Keyword(4) bookshelf image
1st Author's Name Minako Sawaki
1st Author's Affiliation NTT Basic Research Laboratories()
2nd Author's Name Hiroshi Murase
2nd Author's Affiliation NTT Basic Research Laboratories
3rd Author's Name Norihiro Hagita
3rd Author's Affiliation Communication Science Laboratories
Date 1998/12/18
Paper # PRMU98-155
Volume (vol) vol.98
Number (no) 490
Page pp.pp.-
#Pages 8
Date of Issue