Abductive Learning Ensembles for Hand Shape Identification

Cognitive Computation

Volumn 6, Issue 3, 2014, Pages 321-330

  El Alfy, El Sayed M ^a   Abdel Aal, Radwan E ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Biometric authentication; Ensemble learning; Geometric features; Hand recognition; Pattern recognition; Polynomial neural networks

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOMETRICS; PATTERN RECOGNITION;

BIOMETRIC AUTHENTICATION; ENSEMBLE LEARNING; GEOMETRIC FEATURE; HAND RECOGNITION; POLYNOMIAL NEURAL NETWORKS;

DECISION TREES;

EID: 84906948096     PISSN: 18669956     EISSN: 18669964     Source Type: Journal    
DOI: 10.1007/s12559-013-9241-0     Document Type: Article

References (36)

1. Valentine T, editor. Cognitive and computational aspects of face recognition. London: Routledge; 1995.
2. Yörük E, Konukoglu E, Sankur B, Darbon J. Shape-based hand recognition. IEEE Trans Image Proc. 2006;15(7): 1803-15.
3. Sidlauskas DP, Tamer S. Hand geometry recognition. In: Jain AK, Flynn P, Ross AA, editors. Handbook of biometrics. New York: Springer; 2008. p. 91-107.
4. Kumar A, Wong D, Shen H, Jain A. Personal verification using palmprint and hand geometry biometric. In: Kittler J, Nixon MS, editors. Audio- and video-based biometric person authentication. Lecture notes in computer science, vol 2688. Berlin: Springer; 2003. p. 668-78.
5. Das P, Meshram S. An efficient hand-geometry system for biometric identifications. IOSR J Electron Commun Eng. 2013;4(4): 17-9.
6. Kumar A, Wong DCM, Shen HC, Jain AK. Personal authentication using hand images. Pattern Recogn Lett. 2006;27(13): 1478-86.
7. Fournier R, Nat-Ali A. Introduction to hand biometrics. In: Naït-Ali A, Fournier R, editors. Signal and image processing for biometrics. New York: Wiley; 2012. p. 149-66.
8. Tay NW, Loo CK, Perus M. Face recognition with quantum associative networks using overcomplete Gabor wavelet. Cogn Comput. 2010;2: 297-302.
9. Jain AK, Ross A, Pankanti S. A prototype hand geometry based verification system. In: Proceedings of the 2nd international conference on audio- and video-based biometric person authentication; 1999. p. 166-71.
10. Sanchez-Reillo R, Sanchez-Avila C, Gonzalez-Marcos A. Biometric identification through hand geometry measurements. IEEE Trans Pattern Anal Mach Intel. 2000;22: 1168-71.
11. Sanchez-Reillo R. Hand geometry pattern recognition through Gaussian mixture modeling. In: Proceedings of the 15th international conference on pattern recognition; 2000. p. 2937-40.
12. Nicolae D. A survey of biometric technology based on hand shape. Pattern Recogn. 2009;42(11): 2797-806.
13. Zeng W, Wang C, Li Y. Model-based human gait recognition via deterministic learning. Cogn Comput. 2013;1-12.
14. Ruth Karunya S, Veluchamy S. Contactless hand based multimodal biometrics identification system. Res J Eng Sci. 2013;2(3): 6-10.
15. Guo JM, Hsia CH, Liu YF, Yu JC, Chu MH, Le TN. Contact-free hand geometry-based identification system. Expert Syst Appl. 2012;39(14): 11728-36.
16. Yörük E, Dutaǧaci H, Sankur B. Hand biometrics. Image Vis Comput. 2006;24: 483-97.
17. Pavesic N, Ribaric S, Ribaric D. Personal authentication using hand-geometry and palmprint features: the state of the art. In: Proceedings of workshop on biometrics, ICPR; 2004. p. 17-26.
18. Kong A, Zhang D, Kamel M. A survey of palmprint recognition. Pattern Recogn. 2009;42: 1408-18.
19. Li Q, Qiu Z, Sun D. Feature-level fusion of hand biometrics for personal verification based on kernel PCA. In: Zhang D, Jain AK, editors. Advances in biometrics. Lecture notes in computer science, vol 3832. Berlin: Springer; 2005. p. 744-50.
20. Ross A, Jain A. Information fusion in biometrics. Pattern Recogn Lett. 2003;24(13): 2115-25.
21. Zheng P. Gaussian shape descriptor for palmprint authentication. Cogn Comput. 2010;2: 303-11.
22. Faundez-Zanuy M, Mekyska J, Font-Aragonès X. A new hand image database simultaneously acquired in visible, near-infrared and thermal spectrums. Cogn Comput. 2013;p. 1-11.
23. Kittler J, Hatef M, Duin RP, Matas J. On combining classifiers. IEEE Trans Pattern Anal Mach Intell. 1998;20(3): 226-39.
24. AbTech. AIM user's manual. Charlottesville, VA: AbTech Corporation; 1990.
25. Anastasakis LMN. The development of self-organization techniques in modeling: a review of the group method of data handling (GMDH). Univ. Sheffield; 2001.
26. Farlow SJ. The GMDH algorithm. In: Farlow SJ, editor. Self-organizing methods in modeling: GMDH type algorithms. New York: Marcel-Dekker; 1984. p. 1-24.
27. Barron AR. Predicted squared error: a criterion for automatic model selection. In: Farlow SJ, editor. Self-organizing methods in modeling: GMDH type algorithms. New York: Marcel-Dekker; 1984. p. 87-103.
28. http://www. cse. ust. hk/~helens.
29. Selvarajan S, Palanisamy V, Mathivanan B. Human identification and recognition system using more significant hand attributes. In: Proceedings of the international conference on computers and communication engineering; 2008. p. 1211-16.
30. El-Alfy ESM, Abdel-Aal RE, Baig ZA. Abductive neural network modeling for hand recognition using geometric features. In: Huang T, Zeng Z, Li C, Leung C, editors. Neural information processing. Lecture notes in computer science, vol 7666. Berlin: Springer; 2012. p. 593-602.
31. Witten IH, Frank E, Hall MA. Data mining: practical machine learning tools and techniques. 3rd ed. Burlington: Morgan Kaufmann; 2011.
32. Quinlan R. C4. 5: programs for machine learning. Burlington: Morgan Kaufmann; 1993.
33. Cohen W. Fast effective rule induction. In: 12th international conference on machine learning; 1995. p. 115-23.
34. Platt J. Fast training of support vector machines using sequential minimal optimization. In: Schoelkopf B, Burges C, Smola A, editors. Advances in Kernel methods. Cambridge: MIT Press; 1998. p. 185-208.
35. Sherrod P. DTREG: predictive modeling software. http://www. dtreg. com/.
36. Chang C, Lin C. LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol. 2011;2(3): 27: 1-27: 27.