Vehicle Classification Algorithm using Size and Shape
Samuel A. Daramola1, Abdulkareem Ademola2

1Associate Prof. Samuel. A Daramola, Department of Electrical and Information Engineering, Covenant University Canaan-Land Ota, Nigeria.
2Engr. Ademola Abdulkareem, Department of Electrical and Information Engineering, Covenant University Canaan-Land Ota, Nigeria.

Manuscript received on February 09, 2016. | Revised Manuscript received on February 15, 2016. | Manuscript published on March 05, 2016. | PP: 78-81| Volume-6 Issue-1, March 2016. | Retrieval Number: A2809036116/2016©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Automatic classification of vehicles into different classes based on their sizes and shapes is very useful for traffic control and toll collection process. Effective intelligent transportation system that incorporates vehicle classification technique is needed in many cities to prevent road accident and traffic congestion caused by illegal movement of vehicles. This work presents method of getting structural information from detected vehicle images and then uses it to classify vehicles into different classes. The technique involves extraction of contour features from vehicle images side view using morphological operations. The extracted features were combined and used to generate feature vector that serve as input data to vehicle classification algorithm based on Euclidean distance measure. Impressive result was achieved from the proposed vehicle classification method.
Keywords: Vehicle, Shape, Size, Features, Boundary, Classification.