DocumentCode :
1946969
Title :
Statistical analysis of the Discrete Fourier Transform for localization in an image
Author :
Aboura, Khalid
Author_Institution :
Dept. of Quantitative Methods, Univ. of Dammam, Dammam, Saudi Arabia
fYear :
2013
fDate :
13-17 July 2013
Firstpage :
142
Lastpage :
147
Abstract :
One of the important steps in the recognition of a license plate in an image is locating the license plate in the captured image. From the localized area, image regions are extracted and recognized as characters, leading to the identification of the vehicle. License plate recognition is a known problem and many contributions have been made to its resolution. Research continues due to the diversity of the license plates and the difficulty of reaching an absolute reliability. We introduce a statistical analysis of the Discrete Fourier Transform of the license plate image data. The method is applied to a color-based histogram thresholded image. The thresholding method improves the binarization of the images and leads the localization method to achieve good results.
Keywords :
discrete Fourier transforms; feature extraction; image colour analysis; object recognition; statistical analysis; traffic engineering computing; color-based histogram thresholded image; discrete Fourier transform; image binarization; image localization; image region extraction; license plate recognition; statistical analysis; thresholding method; Discrete Fourier transforms; Frequency measurement; Licenses; Signal processing algorithms; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science, Computing and Telecommunications (PACT), 2013 Pan African International Conference on
Conference_Location :
Lusaka
Type :
conf
DOI :
10.1109/SCAT.2013.7055106
Filename :
7055106
Link To Document :
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