Presentation 2006-01-20
An Improvement of License Plate Recognition Algorithm Considering Image Brightness and Character Arrangements
Yosuke SHINOHARA, Jun KAWASHIMA, Nobuo FUNABIKI,
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Abstract(in English) The automatic recognition of characters and numbers on license plates for vehicles is very important for various applications such as vehicle managements in parking lots, automatic fare collections in toll roads, traffic flow measurements and congestion surveillance on roads, and identifications of illegal parking vehicles on streets. In this paper, we propose an improvement of the license number plate recognition algorithm by improving the binarization process and the character recognition area process that are the keys determining the recognition accuracy. In the former process, the histogram of pixel brightness obtained from the input image is classified into three patterns according to the shape, and the different thresholds are used in each pattern. In the latter process, extractions of noisy character regions are enabled by extrapolating them from successfully extracted regions using their relative positions. The effectiveness of our proposal is verified by applications to sample license images.
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Paper # PRMU2005-150,HIP2005-120
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Committee HIP
Conference Date 2006/1/13(1days)
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Language JPN
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Title (in English) An Improvement of License Plate Recognition Algorithm Considering Image Brightness and Character Arrangements
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1st Author's Name Yosuke SHINOHARA
1st Author's Affiliation Faculty of Engineering, Okayama University()
2nd Author's Name Jun KAWASHIMA
2nd Author's Affiliation Faculty of Engineering, Okayama University
3rd Author's Name Nobuo FUNABIKI
3rd Author's Affiliation Faculty of Engineering, Okayama University
Date 2006-01-20
Paper # PRMU2005-150,HIP2005-120
Volume (vol) vol.105
Number (no) 536
Page pp.pp.-
#Pages 6
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