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Indoor Object Recognition System using Combined DCT-DWT under Supervised Classifier

by R. Arunkumar, M. Balasubramanian, S. Palanivel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 3
Year of Publication: 2013
Authors: R. Arunkumar, M. Balasubramanian, S. Palanivel
10.5120/14096-2113

R. Arunkumar, M. Balasubramanian, S. Palanivel . Indoor Object Recognition System using Combined DCT-DWT under Supervised Classifier. International Journal of Computer Applications. 82, 3 ( November 2013), 16-21. DOI=10.5120/14096-2113

@article{ 10.5120/14096-2113,
author = { R. Arunkumar, M. Balasubramanian, S. Palanivel },
title = { Indoor Object Recognition System using Combined DCT-DWT under Supervised Classifier },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 3 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 16-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number3/14096-2113/ },
doi = { 10.5120/14096-2113 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:48.342664+05:30
%A R. Arunkumar
%A M. Balasubramanian
%A S. Palanivel
%T Indoor Object Recognition System using Combined DCT-DWT under Supervised Classifier
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 3
%P 16-21
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of this proposed work is to recognize the real time small indoor objects from the any scene or image of our working environment for visually impaired. This will be efficiently detect and recognize the indoor objects. The objects are detected and segmented automatically by exploiting the geometrical properties of the image regions. Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Combined DCT-DWT are implemented and evaluated for extracting features from the segmented object. In the Training phase, more than hundred objects were used for each category of the objects and dimension reduction of the features has been done for better result. The performance of the object recognition for visually impaired is evaluated along with the corresponding feature selection methods. The performance of the recognition system gives the recognition rate of 94. 44% with the usage of Combined DCT – DWT.

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Index Terms

Computer Science
Information Sciences

Keywords

DCT DWT Combined DCT - DWT Visually Impaired and SVM.

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