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Volumn 30, Issue 1, 2014, Pages 19-31

Three robust features extraction approaches for facial gender classification

Author keywords

Discrete cosine transform; Faces gender classification; Grey level cooccurrence matrix (GLCM); SVM

Indexed keywords

CO-OCCURRENCE-MATRIX; DISCRETE COSINE TRANSFORM(DCT); FEATURES EXTRACTION; GENDER CLASSIFICATION; GRAY LEVEL CO-OCCURRENCE MATRIX; ROBUST APPROACHES; SVM; TEXTURE FEATURES;

EID: 84893814991     PISSN: 01782789     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00371-013-0774-8     Document Type: Article
Times cited : (33)

References (37)
  • 2
    • 0027352107 scopus 로고
    • What's the difference between men and women? Evidence from facial measurement
    • 10.1068/p220153
    • Burton, A.M., Bruce, V., Dench, N.: What's the difference between men and women? Evidence from facial measurement. Perception 22(2), 153-176 (1993)
    • (1993) Perception , vol.22 , Issue.2 , pp. 153-176
    • Burton, A.M.1    Bruce, V.2    Dench, N.3
  • 4
    • 33748436837 scopus 로고    scopus 로고
    • Boosting sex identification performance
    • Baluja, S., Rowley, H.: Boosting sex identification performance. Int. J. Comput. Vis. 7(11) (2007)
    • (2007) Int. J. Comput. Vis. , vol.7 , Issue.11
    • Baluja, S.1    Rowley, H.2
  • 5
    • 4544324319 scopus 로고    scopus 로고
    • Integrating independent components and linear discriminant analysis for gender classification
    • Jain, A., Huang, J.: Integrating independent components and linear discriminant analysis for gender classification. In: FGR, pp. 159-163 (2004)
    • (2004) FGR , pp. 159-163
    • Jain, A.1    Huang, J.2
  • 6
    • 84948749748 scopus 로고    scopus 로고
    • Genetic feature subset selection for gender classification: A comparison study
    • Sun, Z., Bebis, G., Yuan, X., Louis, S.J.: Genetic feature subset selection for gender classification: a comparison study. In: WACV, pp. 165-170 (2002)
    • (2002) WACV , pp. 165-170
    • Sun, Z.1    Bebis, G.2    Yuan, X.3    Louis, S.J.4
  • 7
    • 41349090994 scopus 로고    scopus 로고
    • Automatic gender classification based on pixel-pattern-based texture feature
    • 10.1007/s11554-008-0072-2
    • Lu, H., Huang, Y., Chen, Y., Yang, D.: Automatic gender classification based on pixel-pattern-based texture feature. J. Real-Time Image Process. 3, 109-116 (2008)
    • (2008) J. Real-Time Image Process. , vol.3 , pp. 109-116
    • Lu, H.1    Huang, Y.2    Chen, Y.3    Yang, D.4
  • 9
    • 26844549167 scopus 로고    scopus 로고
    • Gender classification using a min-max modular support vector machine
    • L. Wang K. Chen Y.S. Ong (eds) Lecture Notes in Computer Science 3611 Springer Berlin
    • Lian, H.-C., Lu, B.-L., Takikawa, E., Hosoi, S.: Gender classification using a min-max modular support vector machine. In: Wang, L., Chen, K., Ong, Y.S. (eds.) ICNC 2005. Lecture Notes in Computer Science, vol. 3611, pp. 433-436. Springer, Berlin (2005)
    • (2005) ICNC 2005 , pp. 433-436
    • Lian, H.-C.1    Lu, B.-L.2    Takikawa, E.3    Hosoi, S.4
  • 11
    • 39549093773 scopus 로고    scopus 로고
    • Evaluation of gender classification methods with automatically detected and aligned faces
    • 10.1109/TPAMI.2007.70800
    • kinen E, M., Raisamo, R.: Evaluation of gender classification methods with automatically detected and aligned faces. IEEE Trans. Pattern Anal. Mach. Intell. 30(3), 541-547 (2008)
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.3 , pp. 541-547
    • Kinen, E.M.1    Raisamo, R.2
  • 12
    • 63049138724 scopus 로고    scopus 로고
    • Improving face gender classification by adding deliberately misaligned faces to the training data
    • Mayo, M., Zhang, E.: Improving face gender classification by adding deliberately misaligned faces to the training data. In: IVCNZ08, pp. 1-5 (2008)
    • (2008) IVCNZ08 , pp. 1-5
    • Mayo, M.1    Zhang, E.2
  • 13
    • 77649337313 scopus 로고    scopus 로고
    • Facial gender classification using shape-from-shading
    • 10.1016/j.imavis.2009.09.003
    • Wu, J., Smith, W.A.P., Hancock, E.R.: Facial gender classification using shape-from-shading. Image Vis. Comput. 28, 1039-1048 (2010)
    • (2010) Image Vis. Comput. , vol.28 , pp. 1039-1048
    • Wu, J.1    Smith, W.A.P.2    Hancock, E.R.3
  • 14
    • 77953140341 scopus 로고    scopus 로고
    • Gender classification: A multiscale decision fusion approach
    • 10.1016/j.patrec.2010.02.010
    • Lu, A.A.: Gender classification: a multiscale decision fusion approach. Pattern Class. Lett. 31, 1422-1427 (2010)
    • (2010) Pattern Class. Lett. , vol.31 , pp. 1422-1427
    • Lu, A.A.1
  • 16
    • 79956011923 scopus 로고    scopus 로고
    • A support vector machine classifier with automatic confidence and its application to gender classification
    • 10.1016/j.neucom.2010.07.032
    • Zheng, J., Lu, B.-L.: A support vector machine classifier with automatic confidence and its application to gender classification. Neurocomputing 74, 1926-1935 (2011)
    • (2011) Neurocomputing , vol.74 , pp. 1926-1935
    • Zheng, J.1    Lu, B.-L.2
  • 17
    • 62349098394 scopus 로고    scopus 로고
    • Algorithm research of face image gender classification based on 2-d Gabor wavelet transform and SVM
    • IEEE Comput. Society Los Alamitos
    • Wang, C.-x., Liu, Y., Li, Z.-y.: Algorithm research of face image gender classification based on 2-d Gabor wavelet transform and SVM. In: International Symposium on Computer Science and Computational Technology, pp. 312-315. IEEE Comput. Society, Los Alamitos (2008)
    • (2008) International Symposium on Computer Science and Computational Technology , pp. 312-315
    • Wang, C.-X.1    Liu, Y.2    Li, Z.-Y.3
  • 19
    • 77957550854 scopus 로고    scopus 로고
    • Face gender classification using improved appearance-based average face difference and support vector machine
    • Guo, J.-M., Lin, C.-C., Nguyen, H.-S.: Face gender classification using improved appearance-based average face difference and support vector machine. In: International Conference on System Science and Engineering, pp. 637-640 (2010)
    • (2010) International Conference on System Science and Engineering , pp. 637-640
    • Guo, J.-M.1    Lin, C.-C.2    Nguyen, H.-S.3
  • 20
    • 85050923174 scopus 로고    scopus 로고
    • Fast gender classification. Computational intelligence and computing research (ICCIC)
    • Ozbudak, O., Tukel, M., Seker, S.: Fast gender classification. computational intelligence and computing research (ICCIC). In: IEEE International Conference, pp. 1-5 (2010)
    • (2010) IEEE International Conference , pp. 1-5
    • Ozbudak, O.1    Tukel, M.2    Seker, S.3
  • 24
    • 84893739005 scopus 로고    scopus 로고
    • http://cswww.essex.ac.uk/mv/allfaces/faces94.html
  • 27
    • 0032045780 scopus 로고    scopus 로고
    • The FERET database and evaluation procedure for face classification algorithms
    • 10.1016/S0262-8856(97)00070-X
    • Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.: The FERET database and evaluation procedure for face classification algorithms. Image Vis. Comput. 16(5), 295-306 (1998)
    • (1998) Image Vis. Comput. , vol.16 , Issue.5 , pp. 295-306
    • Phillips, P.J.1    Wechsler, H.2    Huang, J.3    Rauss, P.4
  • 29
    • 84893746558 scopus 로고    scopus 로고
    • Faces and Eyes Detection Based on HSL and R color component and SVM in Facial images
    • 1110-2586
    • Berbar, M.A.: Faces and Eyes Detection Based on HSL and R color component and SVM in Facial images. Egypt. Comput. Sci. J. 36(1), 1110-2586 (2012)
    • (2012) Egypt. Comput. Sci. J. , vol.36 , Issue.1
    • Berbar, M.A.1
  • 30
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern classification
    • 10.1023/A:1009715923555
    • Burges, C.J.C.: A tutorial on support vector machines for pattern classification. Data Min. Knowl. Discov. 2(2), 121-167 (1998)
    • (1998) Data Min. Knowl. Discov. , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 33
    • 0018466704 scopus 로고
    • Statistical and structural approaches to texture
    • 67(5)
    • Haralick, R.M.: Statistical and structural approaches to texture. In: Proceedings of the IEEE, vol. 67(5), pp. 786-804 (1979)
    • (1979) Proceedings of the IEEE , pp. 786-804
    • Haralick, R.M.1
  • 34
    • 0015680481 scopus 로고
    • Textural features for image classification
    • 10.1109/TSMC.1973.4309314 348958
    • Haralick, R., et al.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. 3(6), 610-621 (1973)
    • (1973) IEEE Trans. Syst. Man Cybern. , vol.3 , Issue.6 , pp. 610-621
    • Haralick, R.1
  • 35
    • 0033097007 scopus 로고    scopus 로고
    • Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices
    • Soh, L., Tsatsoulis, C.: Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices. IEEE Trans. Geosci. Remote Sens. 37(2) (1999)
    • (1999) IEEE Trans. Geosci. Remote Sens. , vol.37 , Issue.2
    • Soh, L.1    Tsatsoulis, C.2
  • 36
    • 0043164490 scopus 로고    scopus 로고
    • An analysis of co-occurrence texture statistics as a function of gray level quantization
    • 10.5589/m02-004
    • Clausi, D.A.: An analysis of co-occurrence texture statistics as a function of gray level quantization. Can. J. Remote Sens. 28(1), 45-62 (2002)
    • (2002) Can. J. Remote Sens. , vol.28 , Issue.1 , pp. 45-62
    • Clausi, D.A.1
  • 37
    • 77949396805 scopus 로고    scopus 로고
    • Facial expression recognition based on discriminative scale invariant feature transform
    • 10.1049/el.2010.0092
    • Soyel, H., Demirel, H.: Facial expression recognition based on discriminative scale invariant feature transform. Electron. Lett. 46(5), 343-345 (2010)
    • (2010) Electron. Lett. , vol.46 , Issue.5 , pp. 343-345
    • Soyel, H.1    Demirel, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.