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An Approach to Classify Traffic Signs Categories with Traditional Method | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 8, Issue 3, 2018, Pages 153-178 | ||
| Author | ||
| Ahmed Saleh Mahdi Azzuhairi | ||
| Abstract | ||
| Classification of groups of traffic signs like, (Control, Command, Prohibition, Reservation, Comprehensive, Selective Restriction, Traffic Signals, Warning, Information, and Guidance groups of signs) according to British standard classification is done by decomposition colors in traffic sign images using new color recognition approach by detection of RGB British standard traffic sign, these colors are White, Black, Yellow, Orange, Red, Brown, Light Green, Dark Green and Blue with predefined range around the standard RGB color, redefine image according to largest frequency of color while remove White and Black colors, convert mono color image consecutively to gray, black and white, estimating edges using Sobel method, reconstruct boundaries, and find fast Fourier transformation (FFT), use ten coefficients with ten categories to train classical structure neural network with thousands of traffic signs, simulate with tens of them and estimate efficiency of the system. | ||
| Keywords | ||
| Traffic Signs Detection and Classification; Color Conversion; Color Segmentation; neural network | ||
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