Robust car License Plate Recognition system verified with 163, 574 images captured in fields

Author

Taniyama, K. ; Hayashi, K.

Author_Institution

Mitsubishi Precision Co., Ltd., Japan

fYear

2012

fDate

11-15 Nov. 2012

Firstpage

1273

Lastpage

1276

Abstract

We have been manufacturing our own License Plate Recognition (LPR) systems since 1999 for parking lots in Japan. We have implemented a number of enhancements for our latest LPR system and one of the most important enhancements is for ranges of acceptable license-plate attitude angles. We collected 163, 574 actual images so far and we selected 6,648 images randomly from this image database to verify our latest design. The histograms of plate attitude angles are estimated for these 2,836 images by measuring the license-plate shapes in the images and analyzed statistically. The analysis results for these actual 2,836 images prove that our latest LPR system accepts the attitude angles within its product specifications with enough margins.

Keywords

automobiles; image enhancement; image recognition; traffic engineering computing; visual databases; LPR system enhancements; histograms; image database; license-plate attitude angles; license-plate shapes; parking lots; product specifications; robust car license plate recognition system; Cameras; Histograms; Image recognition; Licenses; Robustness; Shape; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ICPR), 2012 21st International Conference on

Conference_Location

Tsukuba

ISSN

1051-4651

Print_ISBN

978-1-4673-2216-4

Type

conf

Filename

6460371