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Enhancement of infrared-based image identification system for security robots by image decomposition

Abas, Khairul Hamimah and Osamu Ono, Osamu Ono and Ibrahim, Zuwairie (2000) Enhancement of infrared-based image identification system for security robots by image decomposition. In: 2009 4th International Conference on Autonomous Robots and Agents. IEEE, pp. 398-402. ISBN 978-142442713-0

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Official URL: http://dx.doi.org/10.1109/ICARA.2000.4803977


In this paper, a new infrared-based face identification system based on an input image decomposition is presented. The proposed image decomposition is a novel approach to transform an infrared image into a multilayer infrared image based on energy levels. Image decomposition is done by firstly applying false-color palette to the input image which will then be decomposed according to each of the false-color layer. The proposed approach is able to identify correct images from manifold poses by using frontal view of the infrared images and its decomposition layers as training images. In this work, the proposed method was verified through the implementation on a face recognition system, which was based on wavelet and neural network classification. The application of this finding is substantial, for security and rescue robots, for example, where a single image is acquired and should be critically identified.

Item Type:Book Section
Uncontrolled Keywords:decomposition, face recognition, infrared
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:14114
Deposited By: Zalinda Shuratman
Deposited On:26 Aug 2011 04:51
Last Modified:26 Aug 2011 04:51

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