Palmprint Recognition Using Gabor-Based Scale Orientation
Abstract
Various methods are used to obtain a superior palmprint recognition system. After selecting the palmprint image filter, using the Gabor orientation scale pair becomes an option to support the improvement of the verification process. The $ [8\times 7] $ pair of the Gabor orientation scale pair provides a significant system improvement impact from several alternatives. Although many researchers in the same field use different options by getting as many as 40 different positions, with differences as many as 56 parts, Gabor does not take up computational time. The system will be more superior when it combines the use of ThreeW filter, KPCA dimension reduction, and cosine matching method to get a verification rate of $ 99,611\% $. With the achievement of the results of this study, it can be an alternative system in the field of palmprint recognition.References
K. Bensid, D. Samai, F. Z. Laallam, and A. Meraoumia, “Deep learning
feature extraction for multispectral palmprint identification,” Journal
of Electronic Imaging, vol. 27, no. 3, pp. 1 – 11, 2018. [Online].
Available: https://doi.org/10.1117/1.JEI.27.3.033018
N. Saini and A. Sinha, “Efficient fusion of face and palmprint in
gabor filtered wigner domain,” International Journal of Biometrics,
vol. 12, no. 3, pp. 301–316, 2020. [Online]. Available: https:
//www.inderscienceonline.com/doi/abs/10.1504/IJBM.2020.108482
Y. Aberni, L. Boubchir, and B. Daachi, “Multispectral palmprint recognition:
A state-of-the-art review,” 07 2017, pp. 793–797.
C. L. Deepika, A. Kandaswamy, C. Vimal, and B. Satish, “Palmprint
authentication using modified legendre moments,” Procedia Computer
Science, vol. 2, pp. 164 – 172, 2010. [Online]. Available: http:
//www.sciencedirect.com/science/article/pii/S1877050910003510
J. Sung, S.-Y. Bang, and S. Choi, “A bayesian network classifier
and hierarchical gabor features for handwritten numeral recognition,”
Pattern Recognition Letters, vol. 27, no. 1, pp. 66 – 75, 2006.
[Online]. Available: http://www.sciencedirect.com/science/article/pii/
S0167865505001935
H. jun Wang, H. nian Qi, and X. F. Wang, “A new Gabor based approach
for wood recognition,” Neurocomputing, vol. 116, pp. 192–200, 2013.
[Online]. Available: http://dx.doi.org/10.1016/j.neucom.2012.02.045
Q. Li, X. Li, Z. Guo, and J. You, “Online personal verification by
palmvein image through palmprint-like and palmvein information,”
Neurocomputing, vol. 147, no. Supplement C, pp. 364 – 371,
, advances in Self-Organizing Maps Subtitle of the special
issue: Selected Papers from the Workshop on Self-Organizing Maps
(WSOM 2012). [Online]. Available: http://www.sciencedirect.
com/science/article/pii/S0925231214008224
G. S. Badrinath and P. Gupta, “Palmprint based recognition system
using phase-difference information,” Future Generation Computer
Systems, vol. 28, no. 1, pp. 287–305, 2012. [Online]. Available:
http://dx.doi.org/10.1016/j.future.2010.11.029
M. Aykut and M. Ekinci, Kernel Principal Component Analysis
of Gabor Features for Palmprint Recognition. Berlin, Heidelberg:
Springer Berlin Heidelberg, 2009, pp. 685–694. [Online]. Available:
https://doi.org/10.1007/978-3-642-01793-3 70
Y. Xu, L. Fei, and D. Zhang, “Combining left and right palmprint images
for more accurate personal identification,” IEEE Transactions on Image
Processing, vol. 24, no. 2, pp. 549–559, Feb 2015.
C. A. Perez, L. A. Cament, and L. E. Castillo, “Methodological
improvement on local gabor face recognition based on feature selection
and enhanced borda count,” Pattern Recognition, vol. 44, no. 4, pp.
– 963, 2011. [Online]. Available: //www.sciencedirect.com/science/
article/pii/S0031320310005017
Y. Xu, D. Zhang, and J.-Y. Yang, “A feature extraction method for
use with bimodal biometrics,” Pattern Recognition, vol. 43, no. 3,
pp. 1106–1115, 2010. [Online]. Available: http://dx.doi.org/10.1016/j.
patcog.2009.09.013
B. Zhang, W. Li, P. Qing, and D. Zhang, “Palm-print classification by
global features,” IEEE Transactions on Systems, Man, and Cybernetics:
Systems, vol. 43, no. 2, pp. 370–378, March 2013. [Online]. Available:
http://dx.doi.org/10.1109/TSMCA.2012.2201465
G. K. Ong Michael, T. Connie, and A. B. Jin Teoh, “A Contactless
Biometric System Using Palm Print and Palm Vein Features,”
in Advanced Biometric Technologies. InTech, aug 2011. [Online].
Available: http://dx.doi.org/10.5772/19337
I. Dokmanic, R. Parhizkar, J. Ranieri, and M. Vetterli, “Euclidean
distance matrices: Essential theory, algorithms, and applications,” IEEESignal Processing Magazine, vol. 32, no. 6, pp. 12–30, Nov 2015.
M. Velasquez and P. Hester, “An analysis of multi-criteria decision
making methods,” International Journal of Operations Research, vol. 10,
pp. 56–66, 05 2013.
A. Kumar and D. Zhang, “Palmprint authentication using multiple
classifiers,” in Proceedings of SPIE - The International Society for
Optical Engineering, vol. 5404, 2004, pp. 20–29.
V. ˇ Struc and N. P. C, “Gabor-Based Kernel Partial-Least-Squares
Discrimination Features for Face Recognition,” Informatica, vol. 20,
no. 1, pp. 115–138, 2009. [Online]. Available: http://iospress.metapress.com/index/173723327G3J5823.pdf
H. jun Wang, H. nian Qi, and X.-F. Wang, “A new gabor based
approach for wood recognition,” Neurocomputing, vol. 116, pp. 192 –
, 2013. [Online]. Available: http://www.sciencedirect.com/science/
article/pii/S0925231212006881
R. M. Haralick, K. Shanmugam, and I. Dinstein, “Textural features
for image classification,” IEEE Transactions on Systems, Man, and
Cybernetics, vol. SMC-3, no. 6, pp. 610–621, Nov 1973. [Online].
Available: http://dx.doi.org/10.1109/TSMC.1973.4309314
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