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Multi-algorithmic Palmprint Authentication System Based on Score Level Fusion Cover

Multi-algorithmic Palmprint Authentication System Based on Score Level Fusion

By: C. Murukesh and  G. Arul Elango  
Open Access
|Sep 2018

Figures & Tables

Fig. 1

Block diagram of multi-algorithmic palmprint authentication system.

Fig. 2

Sample palmprint images.

Fig. 3

Square-based segmented palmprint image.

Fig. 4

Circle-based segmented palmprint image.

Fig. 5

One level signal wavelet decomposition and reconstruction.

Fig. 6

2D DT-CWT decomposition.

Fig. 7

Palmprint features extracted using DT-CWT.

Fig. 8

Block diagram of the contourlet transform.

Fig. 9

Contourlet features of the palmprint image without preprocessing.

Fig. 10

Contourlet features of the palmprint image with preprocessing.

Fig. 11

ROC curves of multi-algorithmic palmprint score level fusion in terms of GAR and FAR.

Fig. 12

ROC curves of multi-algorithmic palmprint score level fusion in terms of FRR and FAR.

Execution time calculation for contourlet transform based palmprint recognition system (1 sample of each user)_

Process typeExecution time (ms)
Preprocessing25
Feature extraction275
Pattern matching50
Total execution time350

Execution time calculation for DT-CWT based palmprint recognition system (1 sample of each user)_

Process typeExecution time (ms)
Preprocessing25
Feature extraction250
Pattern matching50
Total execution time325

Execution time calculation for multi-algorithmic palmprint recognition system (1 sample of each user)_

Process typeExecution time (ms)
Preprocessing25
Feature extraction350
Pattern matching50
Score normalization100
Fusion at score level250
Total execution time775
Language: English
Page range: 1 - 11
Published on: Sep 5, 2018
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 C. Murukesh, G. Arul Elango, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.