Have a personal or library account? Click to login

Multi-algorithmic Palmprint Authentication System Based on Score Level Fusion

Open Access
|Sep 2018

Figures & Tables

Fig. 1

Block diagram of multi-algorithmic palmprint authentication system.
Block diagram of multi-algorithmic palmprint authentication system.

Fig. 2

Sample palmprint images.
Sample palmprint images.

Fig. 3

Square-based segmented palmprint image.
Square-based segmented palmprint image.

Fig. 4

Circle-based segmented palmprint image.
Circle-based segmented palmprint image.

Fig. 5

One level signal wavelet decomposition and reconstruction.
One level signal wavelet decomposition and reconstruction.

Fig. 6

2D DT-CWT decomposition.
2D DT-CWT decomposition.

Fig. 7

Palmprint features extracted using DT-CWT.
Palmprint features extracted using DT-CWT.

Fig. 8

Block diagram of the contourlet transform.
Block diagram of the contourlet transform.

Fig. 9

Contourlet features of the palmprint image without preprocessing.
Contourlet features of the palmprint image without preprocessing.

Fig. 10

Contourlet features of the palmprint image with preprocessing.
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.
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.
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
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times 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.