An approach to classify traffic signs categories with traditional method

Author

al-Zuhairy, Ahmad Salih Mahdi

Source

Iraqi Journal for Information Technology

Issue

Vol. 8, Issue 3 (30 Jun. 2018), pp.153-178, 26 p.

Publisher

Iraqi Association of Information Technology

Publication Date

2018-06-30

Country of Publication

Iraq

No. of Pages

26

Main Subjects

Electronic engineering

Abstract EN

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.

American Psychological Association (APA)

al-Zuhairy, Ahmad Salih Mahdi. 2018. An approach to classify traffic signs categories with traditional method. Iraqi Journal for Information Technology،Vol. 8, no. 3, pp.153-178.
https://search.emarefa.net/detail/BIM-916167

Modern Language Association (MLA)

al-Zuhairy, Ahmad Salih Mahdi. An approach to classify traffic signs categories with traditional method. Iraqi Journal for Information Technology Vol. 8, no. 3 (2018), pp.153-178.
https://search.emarefa.net/detail/BIM-916167

American Medical Association (AMA)

al-Zuhairy, Ahmad Salih Mahdi. An approach to classify traffic signs categories with traditional method. Iraqi Journal for Information Technology. 2018. Vol. 8, no. 3, pp.153-178.
https://search.emarefa.net/detail/BIM-916167

Data Type

Journal Articles

Language

English

Record ID

BIM-916167