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A colour-based building recognition using support vector machine


Mustaffa, Mas Rina and Nasharuddin, Nurul Amelina and Abdullah, Lili Nurliyana and Loh, Weng Yee (2019) A colour-based building recognition using support vector machine. Telkomnika, 17 (1). pp. 473-480. ISSN 1693-6930; ESSN: 2087278X


Many applications apply the concept of image recognition to help human in recognising objects simply by just using digital images. A content-based building recognition system could solve the problem of using just text as search input. In this paper, a building recognition system using colour histogram is proposed for recognising buildings in Ipoh city, Perak, Malaysia. The colour features of each building image will be extracted. A feature vector combining the mean, standard deviation, variance, skewness and kurtosis of gray level will be formed to represent each building image. These feature values are later used to train the system using supervised learning algorithm, which is Support Vector Machine (SVM). Lastly, the accuracy of the recognition system is evaluated using 10-fold cross validation. The evaluation results show that the building recognition system is well trained and able to effectively recognise the building images with low misclassification rate.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.12928/telkomnika.v17i1.11609
Publisher: Institute of Advanced Engineering and Science (IAES)
Keywords: 10-fold cross validation; Building; Content-based; Colour feature; Support vector machine
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 10 Nov 2020 07:15
Last Modified: 10 Nov 2020 07:15
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.12928/telkomnika.v17i1.11609
URI: http://psasir.upm.edu.my/id/eprint/80389
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