Presentation 2010-02-18
License plate detection using local features
Shinpei OBA, Zentaro ONO, Yaokai FENG, Seiichi UCHIDA,
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Abstract(in English) This paper proposes a method for detecting license plates by local feature called SURF, and concealing the detected plates. SURF is a method for extracting rotation and scale invariant local feature, like SIFT. In the proposed method, first, SURF features are extracted from training-patterns capturing license plates. Then, each of SURF features from a testpattern is compared with features from training-patterns, and finally, the local areas with high similarity are detected as the location of a license plate. After that, the detected plate area is concealed by blurring.
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Keyword(in English) license-plate / extracting feature / local feature / SURF
Paper # PRMU2009-207
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Conference Information
Committee PRMU
Conference Date 2010/2/11(1days)
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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) License plate detection using local features
Sub Title (in English)
Keyword(1) license-plate
Keyword(2) extracting feature
Keyword(3) local feature
Keyword(4) SURF
1st Author's Name Shinpei OBA
1st Author's Affiliation Department of Electrical Engineering and Computer Science, Kyushu University()
2nd Author's Name Zentaro ONO
2nd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University
3rd Author's Name Yaokai FENG
3rd Author's Affiliation Faculity of Information Science and Electrical Engineering, Kyushu University
4th Author's Name Seiichi UCHIDA
4th Author's Affiliation Faculity of Information Science and Electrical Engineering, Kyushu University
Date 2010-02-18
Paper # PRMU2009-207
Volume (vol) vol.109
Number (no) 418
Page pp.pp.-
#Pages 6
Date of Issue