Fusion of color spaces for ear authentication

Pattern Recognition

Volumn 42, Issue 9, 2009, Pages 1906-1913

  Nanni, Loris ^a   Lumini, Alessandra ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Color space; Ear based verification; Floating search; Gabor filters; Image based; Multi matchers

Indexed keywords

COLOR SPACE; EAR-BASED VERIFICATION; FLOATING SEARCH; GABOR FILTERS; IMAGE-BASED; MULTI-MATCHERS;

AUTHENTICATION; COLOR; FUNCTION EVALUATION;

COLOR MATCHING;

EID: 67349183695     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.10.016     Document Type: Article

References (33)

1. M. Choraś, Intelligent Computing for Automated Biometrics, Criminal and Forensic Applications, Advanced Intelligent Computing Theories and Applications, With Aspects of Theoretical and Methodological Issues, 2007, pp. 1170-1181.
2. Kasprzak J. Polish methods of earprint identification. Inf. Bull. Shoeprint/Toolmark Examiners 9 (2003) 20-22
3. P. Yan, K.W. Bowyer, Ear biometrics using 2D and 3D images, in: Proceedings IEEE Conference Computer Vision and Pattern Recognition Workshop Advanced 3D Imaging for Safety and Security, 2005.
4. P. Yan, K.W. Bowyer, Multi-biometrics 2D and 3D ear recognition, in: Proceedings of Audio and Video-Based Biometric Person Authentication, 2005, pp. 503-512.
5. M. Burge, W. Burger, Ear biometrics in computer vision, in: Proceedings of the International Conference on Pattern Recognition, vol. 2, 2000, pp. 822-826.
6. Hurley D., Nixon M., and Carter J. Automatic ear recognition by force field transformations. IEE Colloq. Visual Biometrics (2000) 1-5
7. Chang K.C., Bowyer K.W., Sarkar S., and Victor B. Comparison and combination of ear and face images in appearance-based biometrics. IEEE Trans. Pattern Anal. Mach. Intell. 25 (2003) 1160-1165
8. L. Nanni, A. Lumini, On selecting Gabor features for biometric authentication, Int. J. Comput. Appl. Technol. (2008), to appear. Preprint: bias.csr.unibo.it/nanni/S.doc.
9. Nanni L., and Lumini A. A multi-matcher for ear authentication. Pattern Recognition Lett. 28 16 (2007) 2219-2226
10. B. Moreno, A. Sanchez, On the use of outer ear images for personal identification in security applications, in: Proceedings of IEEE 33rd Annual International Conference On Security Technology, 1999, pp. 469-476.
11. B. Bhanu, H. Chen, Human ear recognition in 3D, in: Proceedings of Workshop Multimodal User Authentication, 2003, pp. 91-98.
12. H. Chen, B. Bhanu, Contour matching for 3D ear recognition, in: Proceedings of Seventh IEEE Workshop Application of Computer Vision, vol. 1, 2005, pp. 123-128.
13. Chen H., and Bhanu B. Human ear recognition in 3D. IEEE Trans. Pattern Anal. Mach. Intell. 29 4 (2007)
14. Yan P., and Bowyer K.W. Biometric recognition using 3D ear shape. IEEE Trans. Pattern Anal. Mach. Intell. 29 8 (2007) 1-12
15. A.H.M. Akkermans, T.A.M. Kevenaar, D.W.E. Schobben, Acoustic ear recognition for person identification, in: Proceedings of AutoID'05, 2005, pp. 219-223.
16. P. Yan, K.W. Bowyer, Empirical evaluation of advanced ear biometrics, in: Empirical Evaluation Methods in Computer Vision (EEMCV 2005), June 2005, San Diego.
17. H.J. Zhang, Z.C. Mu, W.Qu, L.M. Liu, C.Y. Zhang, A novel approach for ear recognition based on ICA and RBF network, in: Fourth International Conference on Machine Learning and Cybernetics, August 2005, pp. 4511-4515.
18. He X., Yan S., Hu Y., Niyogi P., and Zhang H.-J. Face recognition using laplacianfaces. IEEE Trans. Pattern Anal. Mach. Intell. 27 3 (2005) 328-340
19. Hurley D., Nixon M., and Carter J. Force field energy functionals for ear biometrics. Computer Vision and Image Understanding 98 3 (2005) 491-512
20. K. Pun, Y. Moon, Recent advances in ear biometrics, in: Proceedings of the Sixth International Conference on Automatic Face and Gesture Recognition, May 2004, pp. 164-169.
21. D.J. Hurley, B. Arbab-Zavar, M.S. Nixon, The ear as a biometric, in: EUSIPCO 2007, 2007, Poznan, Poland.
22. Geusebroek J.M., van den Boomgaard R., Smeulders A.W.M., and Geerts H. Color invariance. IEEE Trans. Pattern Anal. Mach. Intell. 23 12 (2001) 1338-1350
23. Finlayson G.D., Hordley S.D., and Hubel P.M. Color by correlation: a simple unifying framework for color constancy. IEEE Trans. Pattern Anal. Mach. Intell. 23 11 (2001) 1209-1221
24. Liu C. Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance. IEEE Trans. Pattern Anal. Mach. Intell. 28 5 (2006) 725-737
25. Shih P., and Liu C. Comparative assessment of content-based face image retrieval in different color spaces. Int. J. Pattern Recognition Artif. Intell. 19 7 (2005) 873-893
26. A. Liu, C. Liu, Fusion of the complementary discrete cosine features in the YIQ color space for face recognition, Computer Vision and Image Understanding (2008), to appear.
27. Pudil P., Novovicova J., and Kittler J. Floating search methods in feature selection. Pattern Recognition Lett. 15 11 (1994) 1119-1125
28. Duda R.O., Hart P.E., and Stork D.G. Pattern Classification. second ed. (2000), Wiley, New York
29. Maio D., and Nanni L. MultiHashing, human authentication featuring biometrics data and tokenised random number: a case study FVC2004. NeuroComputing 69 (2005) 242-249
30. X. Tan, B. Triggs, Enhanced local texture feature sets for face recognition under difficult lighting conditions, AMFG 2007, in: Lecture Notes in Compute Science, vol. 4778, 2007, pp. 168-182.
31. Tan X., and Triggs B. Fusing Gabor and LBP feature sets for kernel-based face recognition. Analysis and modelling of faces and gestures. Lecture Notes in Computer Science vol. 4778 (2007), Springer, Berlin 235-249
32. Lumini A., and Nanni L. Two-class fingerprint matcher. Pattern Recognition 39 4 (2006) 714-716
33. Ojala T., Pietikainen M., and Maeenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24 7 (2002) 971-987