Presentation | 2010-02-19 Real-Time Case-Based Recognition of Camera-Captured Characters Masakazu IWAMURA, Tomohiko TSUJI, Koichi KISE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, in the recognition problem of camera-captured characters, we present how to realize quick and precise recognition using a lot of case examples stored in a database. To be more precise, we introduce our fast and robust approximate nearest neighbor search method, originally designed for specific object recognition, to our real-time camera-based character recognition method. In the experiments using a database storing 100 fonts, we confirmed that the proposed method achieved high performance in both recognition rate and processing time. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | camera-based character recognition / real time / case example / approximate nearest neighbor search |
Paper # | PRMU2009-222 |
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Committee | PRMU |
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Conference Date | 2010/2/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Real-Time Case-Based Recognition of Camera-Captured Characters |
Sub Title (in English) | |
Keyword(1) | camera-based character recognition |
Keyword(2) | real time |
Keyword(3) | case example |
Keyword(4) | approximate nearest neighbor search |
1st Author's Name | Masakazu IWAMURA |
1st Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University() |
2nd Author's Name | Tomohiko TSUJI |
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 | 2010-02-19 |
Paper # | PRMU2009-222 |
Volume (vol) | vol.109 |
Number (no) | 418 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |