Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Taniyama, K. ; Mitsubishi Precision Co., Ltd., Japan ; Hayashi, K.

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.

Published in:

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

Date of Conference:

11-15 Nov. 2012