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Proceedings Paper

Automatic identification of vehicle license plates
Author(s): M. M. Islam; M. S. Alam
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Paper Abstract

A new algorithm for automatic identification of vehicle license plate is proposed in this paper. The proposed algorithm uses image segmentation and morphological operation to accurately identify the location of license plate with various background illuminations. The license plate is identified in two steps. At first the original image is segmented using edge detection and morphological operations. Then, the power spectrum (PS) is analyzed in horizontal and vertical directions to identify the license plate. The magnitude of the power frequency spectrum shows special characteristics corresponding to the license plate segment. The proposed algorithm is tested with different gray level car images from different angles of view and the results are all consistent. The proposed algorithm is fast and can effectively identify license plates under various illumination conditions with high accuracy.

Paper Details

Date Published: 24 September 2007
PDF: 9 pages
Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66961G (24 September 2007); doi: 10.1117/12.737194
Show Author Affiliations
M. M. Islam, Univ. of South Alabama (United States)
M. S. Alam, Univ. of South Alabama (United States)

Published in SPIE Proceedings Vol. 6696:
Applications of Digital Image Processing XXX
Andrew G. Tescher, Editor(s)

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