Soft biometric classification using periocular region features

IEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010

Volumn , Issue , 2010, Pages

  Lyle, Jamie R ^a   Miller, Philip E ^a   Pundlik, Shrinivas J ^a   Woodard, Damon L ^a  

^a South   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION APPROACH; CROSS VALIDATION; DATA SETS; GRAY SCALE; LOCAL BINARY PATTERNS; PERFORMANCE IMPROVEMENTS; PERIOCULAR REGION FEATURES; PIXEL INTENSITIES; SOFT BIOMETRICS; SVM CLASSIFIERS; VISIBLE SPECTRA;

BIOMETRICS; FEATURE EXTRACTION; IMAGE PROCESSING; TEXTURES;

CLASSIFICATION (OF INFORMATION);

EID: 78650342683     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2010.5634537     Document Type: Conference Paper

References (22)

1. K. Balci and V. Atalay. Pca for gender estimation: which eigenvectors contribute? In Proceedings of the IAPR International Conference on Pattern Recognition, 2002.
2. C. BenAbdelkader and P. Griffin. A local region based approach to gender classification from face images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005.
3. B. E. Boser, I. M. Guyon, and V. N. Vapnik. A training algorithm for optimal margin classifiers. In COLT '92: Proceedings of the fifth annual workshop on Computational learning theory, pages 144-152, New York, NY, USA, 1992. ACM.
4. C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
5. D. O. Computer, C. wei Hsu, C. chung Chang, and C. jen Lin. A practical guide to support vector classification chih-wei hsu, chihchung chang, and chih-jen lin. Technical report, 2003.
6. W. Gao and H. Ai. Face gender classification on consumer images in a multi-ethnic environment. In International Conference on Biometrics, 2009.
7. S. Gutta, J. Huang, P. Jonathan, and H. Wechsler. Mixture of experts for classification of gender, ethnic origin, and pose of human faces. IEEE Transactions on Neural Networks, 11(4), 2000.
8. S. Hosoi, E. Takikawa, and M. Kawade. Ethnicity estimation with facial images. In Automatic Face and Gesture Recognition, 2004.
9. A. K. Jain, S. C. Dass, and K. Nandakumar. Can soft biometric traits assist user recognition. SPIE, 5404:561-572, 2004.
10. A. Lapedriza, M. Marin-Jimenez, and J. Vitria. Gender recognition in non-controlled environments. In Proceedings of the IAPR International Conference on Pattern Recognition, 2006.
11. X. Lu, H. Chen, and A. K. Jain. Multi-modal facial gender and ethnicity identification. In International Conference on Biometrics, 2006.
12. E. Makinen and R. Raisamo. Evaluation of gender classification methods with automatically detected and aligned faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(3):541-547, 2008.
13. P. Miller, A. Rawls, S. Pundlik, and D. Woodard. Personal identification using periocular skin texture. In ACM Symposium on Applied Computing, 2009.
14. B. Moghaddam and M. H. Yang. Learning gender with support faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(7), 2002.
15. U. Park, A. Ross, and A. K. Jain. Periocular biometrics in the visible spectrum: a feasibility study. In Biometrics: Theory, Applications and Systems, 2009.
16. P. J. Phillips, P. J. Flynn, T. Scruggs, K. W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, and W. Worek. Overview of face recognition grand challenge. IEEE Conference on Computer Vision and Pattern Recognition, 2005.
17. D. Woodard, S. Pundlik, J. Lyle, and P. Miller. Periocular region appearance cues for biometric identification. In CVPR Workshop on Biometrics, 2010.
18. D. Woodard, S. Pundlik, P. Miller, R. Jillela, and A. Ross. On the fusion of periocular and iris biometrics in non-ideal imagery. In Proceedings of the IAPR International Conference on Pattern Recognition, 2010.
19. B. Wu, A. Haizhou, and C. Huang. Lut based adaboost for gender classification. In Audio and Video Based Biometric Person Authentication, 2003.
20. Z. Xu, L. Lu, and P. Shi. A hybrid approach to gender classification from face images. In Proceedings of the IAPR International Conference on Pattern Recognition, 2008.
21. Z. Yang and H. Ai. Demographic classification with local binary patterns. In International Conference on Biometrics, 2007.
22. Z. Yang, M. Li, and H. Ai. An experimental study on automatic face gender classification. In Proceedings of the IAPR International Conference on Pattern Recognition, 2006.