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

Lee, Therry Z. and Bong, David Boon Liang (2016) Face And Palmprint Multimod al Biometric System Based On Bit-Plane Decomposition Approach. In: IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 27-29 May 2016, Nantou County, Taiwan.

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Abstract

Bit-plane decomposition approach has been introduced lately 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 bitplane 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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Biometrics (access control), Databases, Face, Feature extraction, Feedforward neural networks, Principal component analysis, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 03 Aug 2016 19:44
Last Modified: 25 Oct 2016 02:13
URI: http://ir.unimas.my/id/eprint/12756

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