Face And Palmprint Multimodal Biometric System Based On Bit-Plane Decomposition Approach

Bit-plane decomposition approach has been introduced \ate\y for single trait biometric system such as face, palmprint, and fingerprint recognition. This approach is able to provide promising high performance rate while reducing the data dimensionality. However, this approach has not been tested on m...

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Main Authors: Lee, Therry Z., Bong, David B L
Format: Article
Language:English
Published: IEEE 2016
Subjects:
Online Access:http://ir.unimas.my/id/eprint/16587/
http://ir.unimas.my/id/eprint/16587/1/Face.pdf
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author Lee, Therry Z.
Bong, David B L
author_facet Lee, Therry Z.
Bong, David B L
author_sort Lee, Therry Z.
building UNIMAS Institutional Repository
collection Online Access
description Bit-plane decomposition approach has been introduced \ate\y for single trait biometric system such as face, palmprint, and fingerprint recognition. This approach is able to provide promising high performance rate while reducing the data dimensionality. However, this approach has not been tested on multimodal biometric system which uses more than one biometric trait. Hence, this paper introduces a new multimodal biometric system based on face and palmprint fusion with bit-plane decomposition approach. Pixel level fusion is applied by using simple averaging method before bit-plane feature extraction. Principal Component Analysis is also used on the hybrid face-palm bit planes for further dimension reduction before being classified by Feedforward Backpropagation Neural Network. The experimental results show that the proposed system is able to provide high recognition rate.
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spelling unimas-165872022-02-08T01:15:45Z http://ir.unimas.my/id/eprint/16587/ Face And Palmprint Multimodal Biometric System Based On Bit-Plane Decomposition Approach Lee, Therry Z. Bong, David B L T Technology (General) Bit-plane decomposition approach has been introduced \ate\y for single trait biometric system such as face, palmprint, and fingerprint recognition. This approach is able to provide promising high performance rate while reducing the data dimensionality. However, this approach has not been tested on multimodal biometric system which uses more than one biometric trait. Hence, this paper introduces a new multimodal biometric system based on face and palmprint fusion with bit-plane decomposition approach. Pixel level fusion is applied by using simple averaging method before bit-plane feature extraction. Principal Component Analysis is also used on the hybrid face-palm bit planes for further dimension reduction before being classified by Feedforward Backpropagation Neural Network. The experimental results show that the proposed system is able to provide high recognition rate. IEEE 2016 Article PeerReviewed text en http://ir.unimas.my/id/eprint/16587/1/Face.pdf Lee, Therry Z. and Bong, David B L (2016) Face And Palmprint Multimodal Biometric System Based On Bit-Plane Decomposition Approach. IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2016. ISSN ISBN: 978-1-5090-2073-7 http://ieeexplore.ieee.org/document/7520922/ 10.1109/ICCE-TW.2016.7520922
spellingShingle T Technology (General)
Lee, Therry Z.
Bong, David B L
Face And Palmprint Multimodal Biometric System Based On Bit-Plane Decomposition Approach
title Face And Palmprint Multimodal Biometric System Based On Bit-Plane Decomposition Approach
title_full Face And Palmprint Multimodal Biometric System Based On Bit-Plane Decomposition Approach
title_fullStr Face And Palmprint Multimodal Biometric System Based On Bit-Plane Decomposition Approach
title_full_unstemmed Face And Palmprint Multimodal Biometric System Based On Bit-Plane Decomposition Approach
title_short Face And Palmprint Multimodal Biometric System Based On Bit-Plane Decomposition Approach
title_sort face and palmprint multimodal biometric system based on bit-plane decomposition approach
topic T Technology (General)
url http://ir.unimas.my/id/eprint/16587/
http://ir.unimas.my/id/eprint/16587/
http://ir.unimas.my/id/eprint/16587/
http://ir.unimas.my/id/eprint/16587/1/Face.pdf