局所特徴を利用したナンバープレート検出

Translated title of the contribution: License plate detection using local features

大場 慎平, 小野 善太郎, 馮 尭楷, 内田 誠一

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Translated title of the contributionLicense plate detection using local features
Original languageJapanese
Pages (from-to)1-6
Number of pages6
JournalIEICE technical report
Volume109
Issue number418
Publication statusPublished - Feb 11 2010

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