Verifikasi dan Identifikasi Telapak Tangan dengan Kernel Gabor

  • Muhammad Kusban Universitas Muhammadiyah Surakarta
Keywords: kernel Gabor, PCA, DET, EPC, CMC

Abstract

In recent years, biometric recognition has been rapidly developed and still continues to grow. Researchers are combining several algorithms to obtain a more robust feature. In this study, Gabor kernel methods, principle component analysis (PCA), detection error trade-off (DET), expected performance curves (EPC), and cumulative match characteristic (CMC) is combined and used to obtain the features of palm print. This experiment shows that the combination of Gabor and PCA methods, using 240 items of data, gives an optimum result in palms identification and authentication.

References

A. Kong, D. Zhang, and M. Kamel, “A survey of palmprint recognition,” Pattern Recognit., vol. 42, no. 65, pp. 1408–1418, 2009.

Y. J. Chin, T. S. Ong, A. B. J. Teoh, and K. O. M. Goh, “Integrated biometrics template protection technique based on fingerprint and palmprint feature-level fusion,” Inf. Fusion, vol. 18, no. 0, pp. 161–174, 2014.

E. Liu, A. K. Jain, and J. Tian, “A Coarse to Fine Minutiae-Based Latent Palmprint Matching,” Pattern Anal. Mach. Intell. IEEE Trans., vol. 35, no. 10, pp. 2307–2322, Oct. 2013.

A. K. Jain and J. Feng, “Latent Palmprint Matching,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 6, pp. 1032–1047, Jun. 2009.

D. Zhang, W. Zuo, and F. Yue, “A Comparative Study of Palmprint Recognition Algorithms,” ACM Comput. Surv., vol. 44, no. 1, pp. 2:1–2:37, Jan. 2012.

B. Zhang, W. Li, P. Qing, and D. Zhang, “Palm-Print Classification by Global Features,” Syst. Man, Cybern. Syst. IEEE Trans., vol. 43, no. 2, pp. 370–378, Mar. 2013.

S. Saedi and N. M. Charkari, “Palmprint authentication based on discrete orthonormal S-Transform,” Appl. Soft Comput., no. 0, p. -, 2014.

L. Nanni and A. Lumini, “Ensemble of Multiple Palmprint Representation,” Expert Syst. Appl., vol. 36, no. 3, pp. 4485–4490, Apr. 2009.

J. Malik, G. Sainarayanan, and R. Dahiya, “Personal Authentication Using Palmprint With Sobel Code , Canny Edge and Phase Congruency Feature Extraction Method,” ICTACT J. IMAGE VIDEO Process., vol. 9102, no. February, pp. 357–368, 2012.

D. Zhang and W. Shu, “Two novel characteristics in palmprint verification: datum point invariance and line feature matching,” Pattern Recognit., vol. 32, no. 4, pp. 691–702, 1999.

G. Lu, D. Zhang, and K. Wang, “Palmprint recognition using eigenpalms features,” Pattern Recognit. Lett., vol. 24, no. 9–10, pp. 1463–1467, 2003.

X. Wu, D. Zhang, and K. Wang, “Fisherpalms based palmprint recognition,” Pattern Recognit. Lett., vol. 24, no. 15, pp. 2829–2838, 2003.

L. Shang, D.-S. Huang, J.-X. Du, and C.-H. Zheng, “Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network,” Neurocomputing, vol. 69, no. 13–15, pp. 1782–1786, 2006.

R. Chu, Z. Lei, Y. Han, R. He, and S. Z. Li, “Learning Gabor Magnitude Features for Palmprint Recognition,” pp. 22–31, 2007.

A. W.-K. Kong and D. Zhang, “Competitive coding scheme for palmprint verification,” in Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, 2004, vol. 1, pp. 520–523 Vol.1.

X. Wang, L. Lei, and M. Wang, “Palmprint verification based on 2D Gabor wavelet and pulse coupled neural network,” Knowl. Based Syst., vol. 27, no. 0, pp. 451–455, 2012.

V. Štruc and N. Pavešić, “The complete Gabor-fisher classifier for robust face recognition,” EURASIP J. Adv. Signal Process., vol. 2010, 2010.

V. Štruc and N. P. C, “Gabor-Based Kernel Partial-Least-Squares Discrimination Features for Face Recognition,” Informatica, vol. 20, no. 1, pp. 115–138, 2009.

N. Dalal and B. Triggs, “Histograms of oriented gradients for human detection,” in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2005, vol. 1, pp. 886–893 vol. 1.

S. Wibirama and R. Hidayat, “Rekonstruksi dan Visualisasi Objek 3-D Berbasis Algoritma Direct Linear Transformation,” vol. 1, no. 2, pp. 32–39, 2012.

A. K. Jain and J. Feng, “Latent Palmprint Matching,” vol. 31, no. 6, pp. 1032–1047, 2009.

How to Cite
Muhammad Kusban. (1). Verifikasi dan Identifikasi Telapak Tangan dengan Kernel Gabor. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 4(2), 80-86. Retrieved from https://dev.journal.ugm.ac.id/v3/JNTETI/article/view/3005
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Articles