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ISSN Print: 2381-1110 ISSN Online: 2381-1129

American Journal of Computer Science and Information Engineering

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Cuckoo Search Algorithm and Discrete Wavelet Transform for Iraqi Road Signs Recognition System

American Journal of Computer Science and Information Engineering
Vol.3 , No. 5, Publication Date: Sep. 29, 2016, Page: 29-36

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Authors

[1]	Majida Ali Abed, College of Computers Sciences & Mathematics, University of Tikrit, Tikrit, Iraq.
[2]	Hamid Ali Abed Alasad, Computers Sciences Department, Education for Pure Science College, University of Basra, Basra, Iraq.

Abstract

In this article, a Cuckoo Search Algorithm (CSA) is presented as a class of evolutionary optimization technique with classifier Discrete Wavelet Transform (DWT) for generic object recognition. The invariant to rotation, translation or scaling DWT is used for extracting some features, and CSA performs the recognition task. Experimental results show that the proposed for all types of Iraqi traffic signs can give a system highly recognition rate and lower processing computation time of 98%, and 0.3 second, respectively.

Keywords

Traffic Sign Recognition, Cuckoo Search Algorithm (CSA), Discrete Wavelet Transform (DWT) Classifier

Reference

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