Presentation | 2012-12-13 High-Accuracy Clustering Using LDA for Fast Japanese Character Recognition Takahiro Sasaki, Hideaki Goto, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recognizing text in natural scene images is very important to develop various systems such as an assis-tant device for visually-impaired people. Since computational resources are limited on such mobile devices, a fast and precise Optical Character Recognition(OCR) algorithm is needed. In feature vector based OCR systems, Nearest Neighbor (NN) search is often used, and its speed improvement is quite important. In this paper, we develop an OCR scheme with tree-based clustering technique with LDA (Linear Discriminant Analysis), and the second-ordercandidate reduction by linear search in lower dimensional spaces. The experimental results show that our proposed method runs 33 times faster than the conventional linear search, at mere 0.3% accuracy drop. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Japanese character recognition / nearest neighbor search / real-time processing / classification tree / Linear Discriminant analysis |
Paper # | PRMU2012-73,HIP2012-62 |
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Committee | PRMU |
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Conference Date | 2012/12/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (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) | High-Accuracy Clustering Using LDA for Fast Japanese Character Recognition |
Sub Title (in English) | |
Keyword(1) | Japanese character recognition |
Keyword(2) | nearest neighbor search |
Keyword(3) | real-time processing |
Keyword(4) | classification tree |
Keyword(5) | Linear Discriminant analysis |
1st Author's Name | Takahiro Sasaki |
1st Author's Affiliation | Tohoku University() |
2nd Author's Name | Hideaki Goto |
2nd Author's Affiliation | Tohoku University |
Date | 2012-12-13 |
Paper # | PRMU2012-73,HIP2012-62 |
Volume (vol) | vol.112 |
Number (no) | 357 |
Page | pp.pp.- |
#Pages | 6 |
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