Face And Palmprint Multimod al Biometric System Based On Bit-Plane Decomposition Approach
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...
| Main Authors: | , |
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| Format: | Proceeding |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/12756/ http://ir.unimas.my/id/eprint/12756/1/Face%20And%20Palmprint.pdf |
| Summary: | 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. |
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