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Pattern Analysis and Applications

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01-11-2015 | Survey

A review of facial gender recognition

Authors: Choon-Boon Ng, Yong-Haur Tay, Bok-Min Goi

Published in: Pattern Analysis and Applications | Issue 4/2015

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Abstract

Applications such as human–computer interaction, surveillance, biometrics and intelligent marketing would benefit greatly from knowledge of the attributes of the human subjects under scrutiny. The gender of a person is one such significant demographic attribute. This paper provides a review of facial gender recognition in computer vision. It is certainly not a trivial task to identify gender from images of the face. We highlight the challenges involved, which can be divided into human factors and those introduced during the image capture process. A comprehensive survey of facial feature extraction methods for gender recognition studied in the past couple of decades is provided. We appraise the datasets used for evaluation of gender classification performance. Based on the results reported, good performance has been achieved for images captured under controlled environments, but certainly there is still much work that can be done to improve the robustness of gender recognition under real-life environments.

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Abdi H., Valentin D, Edelman B, O’Toole A (1995) More about the difference between men and women: evidence from linear neural networks and the principal-component approach. Perception 24(5):539–62 (1995)

Aghajanian J, Warrell J, Prince SJD, Rohn JL, Baum B (2009) Patch-based within-object classification. In: 2009 IEEE 12th international conference on computer vision. IEEE, pp 1125–1132

Ahmed A, Yu K, Xu W, Gong Y, Xing E (2008) Training hierarchical feed-forward visual recognition models using transfer learning from pseudo-tasks. In: Computer Vision-ECCV 2008, pp 69–82

Alexandre LA (2012) Gender recognition: a multiscale decision fusion approach. Pattern Recognit Lett 31(11):1422–1427. doi:10.1016/j.patrec.2010.02.010

Alomar FA, Muhammad G, Aboalsamh H, Hussain M, Mirza AM, Bebis G (2013) Gender recognition from faces using bandlet and local binary patterns. In: 2013 20th international conference on systems, signals and image processing (IWSSIP). IEEE, pp 59–62. doi:10.1109/IWSSIP.2013.6623449

Anderson K, McOwan PW (2004) Robust real-time face tracker for cluttered environments. Comput Vis Image Underst 95(2):184–200. doi:10.1016/j.cviu.2004.01.001

Andreu Y, García-Sevilla P, Mollineda RA (2014) Face gender classification: a statistical study when neutral and distorted faces are combined for training and testing purposes. Image Vis Comput 32(1):27–36. doi:10.1016/j.imavis.2013.11.001

Andreu Y, Mollineda R, Garcia-Sevilla P (2009) Gender recognition from a partial view of the face using local feature vectors. In: Pattern recognition and image analysis, pp 481–488

Ardakany AR, Nicolescu M, Nicolescu M (2013) An extended local binary pattern for gender classification. In: 2013 IEEE international symposium on multimedia. IEEE, pp 315–320. doi:10.1109/ISM.2013.61

10.

Ballihi L, Ben Amor B, Daoudi M, Srivastava A, Aboutajdine D (2012) Geometric based 3D facial gender classification. In: 2012 5th international symposium on communications, control and signal processing. IEEE, pp 1–5. doi:10.1109/ISCCSP.2012.6217828

11.

Baluja S, Rowley H (2007) Boosting sex identification performance. Int J Comput Vis 71(1):111–119

12.

BeFIT—Benchmarking Facial Image Analysis Technologies. http://fipa.cs.kit.edu/412.php. Accessed 12 Mar 2012

13.

Bekios-Calfa J, Buenaposada J, Baumela L (2011) Revisiting linear discriminant techniques in gender recognition. Pattern Anal Mach Intell IEEE Trans 33(4):858–864

14.

Bekios-Calfa J, Buenaposada JM, Baumela L (2014) Robust gender recognition by exploiting facial attributes dependencies. Pattern Recognit Lett 36:228–234. doi:10.1016/j.patrec.2013.04.028

15.

Benabdelkader C, Griffin P (2005) A local region-based approach to gender classification from face images. In: Computer vision and pattern recognition-workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on, p 52

16.

Bruce V, Burton A, Hanna E, Healey P, Mason O, Coombes A, Fright R, Linney A (1993) Sex discrimination: how do we tell the difference between male and female faces? Perception 22(2):131–152

17.

Bruce V, Valentine T, Baddeley A (1987) The basis of the 3/4 view advantage in face recognition. Appl Cogn Psychol 1(2):109–120

18.

Brunelli R, Poggio T (1993) Face recognition: features versus templates. IEEE Trans Pattern Anal Mach Intell 15(10):1042–1052 (1993)

19.

Bucak S, Jin R, Jain A (2014) Multiple kernel learning for visual object recognition: a review. IEEE Trans Pattern Anal Mach Intell 36(7):1354–1369. doi:10.1109/TPAMI.2013.212

20.

Buchala S, Davey N, Frank R, Gale T, Loomes M, Kanargard W (2004) Gender classification of face images: the role of global and feature-based information. In: Neural information processing. Springer, Berlin, pp 763–768

21.

Buchala S, Davey N, Gale T (2005) Analysis of linear and nonlinear dimensionality reduction methods for gender classification of face images. Int J Syst Sci 36(14):931–942 (2005)

22.

Buchala S, Davey N, Gale T (2005) Principal component analysis of gender, ethnicity, age, and identity of face images. In: Proceedings of IEEE ICMI

23.

Buchala S, Loomes M, Davey N, Frank R (2005) The role of global and feature based information in gender classification of faces: a comparison of human performance and computational models. Int J Neural Syst 15:121–128

24.

Bui L, Tran D, Huang X, Chetty G (2010) Face gender recognition based on 2D principal component analysis and support vector machine. In: Network and system security (NSS), 2010 4th international conference on, pp 579–582. doi:10.1109/NSS.2010.19

25.

Caldwell T (2011) Vending machines recommend based on face recognition. Biom Technol Today 2011(1):12. doi:10.1016/S0969-4765(11)70018-2 MathSciNetCrossRef

26.

Castrillón M, Déniz O, Hernández D, Dominguez A (2003) Identity and gender recognition using the ENCARA real-time face detector. In: Conferencia de la Asociacin Espaola para la Inteligencia Artificial., vol 3

27.

Castrillón-Santana M, Lorenzo-Navarro J, Ramon-Balmaseda E (2013) Improving gender classification accuracy in the wild. In: Progress in pattern recognition, image analysis, computer vision, and applications, pp 270–277. doi:10.1007/978-3-642-41827-3_34

28.

Castrillón-Santana M, Vuong Q (2007) An analysis of automatic gender classification. In: Progress in pattern recognition, image analysis and applications, vol 4756, pp 271–280

29.

Chen H, Gallagher A, Girod B (2012) Describing clothing by semantic attributes. In: Computer vision—ECCV 2012, pp 609–623

30.

Chen W, Lee P, Hsieh L (2013) Gender classification of face with moment descriptors. In: The Eighth international multi-conference on computing in the global information technology (ICCGI’13), pp 72–75

31.

Cootes T, Edwards G, Taylor C (2001) Active appearance models. IEEE Trans Pattern Anal Mach Intell 23(6):681–685. doi:10.1109/34.927467

32.

Dago-Casas P, Gonzalez-Jimenez D, Yu L, Alba-Castro J (2011) Single-and cross-database benchmarks for gender classification under unconstrained settings. In: Computer vision workshops (ICCV Workshops), 2011 IEEE international conference on, pp 2152–2159

33.

Demirkus M, Toews M, Clark J, Arbel T (2010) Gender classification from unconstrained video sequences. In: Computer vision and pattern recognition workshops (CVPRW), 2010 IEEE computer society conference on. IEEE, pp 55–62

34.

Fellous J (1997) Gender discrimination and prediction on the basis of facial metric information. Vis Res 37(14):1961–1973

35.

Flynn P, Bowyer K, Phillips P (2003) Assessment of time dependency in face recognition: An initial study. In: Audio-and video-based biometric person authentication. Springer, Berlin, p 1057

36.

Fu X, Dai G, Wang C, Zhang L (2010) Centralized Gabor gradient histogram for facial gender recognition. In: Natural computation (ICNC), 2010 sixth international conference on, vol 4. IEEE, pp 2070–2074

37.

Gallagher A, Chen T (2009) Understanding images of groups of people. In: 2009 IEEE conference on computer vision and pattern recognition. IEEE, pp 256–263. doi:10.1109/CVPR.2009.5206828

38.

Gao W, Ai H (2009) Face gender classification on consumer images in a multiethnic environment. Adv Biom 169–178

39.

Gao W, Cao B, Shan S, Chen X (2008) The CAS-PEAL large-scale Chinese face database and baseline evaluations. Syst Man Cybern Part A Syst Hum IEEE Trans 38(1):149–161

40.

Gehrig T, Steiner M, Ekenel HK (2011) Draft: evaluation guidelines for gender classification and age estimation. Tech. rep. http://fipa.cs.kit.edu/download/befit-evaluation_guidelines.pdf. Accessed 12 Mar 2012

41.

Gilani SZ, Shafait F, Mian A (2013) Biologically significant facial landmarks: how significant are they for gender classification? In: 2013 International conference on digital image computing: techniques and applications (DICTA), vol 1. IEEE, pp 1–8. doi:10.1109/DICTA.2013.6691488

42.

Golomb B, Lawrence D, Sejnowski T (1991) Sexnet: a neural network identifies sex from human faces. Adv Neural Inf Process Syst 3:572–577

43.

Graf AB, Wichmann FA (2002) Gender classification of human faces. Biol Moti Comput Vis 2525:491–500

44.

Guo G, Dyer C, Fu Y, Huang T (2009) Is gender recognition affected by age? In: Computer vision workshops (ICCV Workshops), 2009 IEEE 12th international conference on. IEEE, pp 2032–2039

45.

Gutta S, Huang J, Jonathon P (2000) Mixture of experts for classification of gender, ethnic origin, and pose of human faces. Neural Netw IEEE Trans 11(4):948–960

46.

Han X, Ugail H, Palmer I (2009) Gender classification based on 3D face geometry features using SVM. In: CyberWorlds, 2009 (CW’09). International conference on. IEEE, pp 114–118. doi:10.1109/CW.2009.41

47.

He X, Niyogi P (2004) Locality preserving projections. Neural Inf Process Syst 16:153

48.

Hillel A, Weinshall D (2007) Subordinate class recognition using relational object models. Adv Neural Inf Process Syst 19:73

49.

Hosoi S, Takikawa E, Kawade M (2004) Ethnicity estimation with facial images. In: Automatic face and gesture recognition, 2004. Proceedings. Sixth IEEE international conference on. IEEE, pp 195–200

50.

Hu Y, Yan J, Shi P (2010) A fusion-based method for 3d facial gender classification. In: Computer and automation engineering (ICCAE), 2010 The 2nd International Conference on, vol 5. IEEE, pp. 369–372

51.

Huang D, Ding H, Wang C, Wang Y, Zhang G, Chen L (2014) Local circular patterns for multi-modal facial gender and ethnicity classification. Image Vis Comput. doi:10.1016/j.imavis.2014.06.009

52.

Huang G, Mattar M, Berg T, Learned-Miller E (2008) Labeled faces in the wild: a database for studying face recognition in unconstrained environments. In: Workshop on faces in’Real-Life’Images: detection, alignment, and recognition

53.

Hussain M, Al-Otaibi S, Muhammad G (2013) Gender recognition using nonsubsampled contourlet transform and WLD descriptor. In: Image analysis, pp 373–383. doi:10.1007/978-3-642-38886-6_36

54.

Huynh T, Min R, Dugelay J (2013) An efficient LBP-based descriptor for facial depth images applied to gender recognition using RGB-D face data. In: Computer vision-ACCV 2012 workshops, pp 133–145. doi:10.1007/978-3-642-37410-4_12

55.

Jabid T, Hasanul Kabir M, Chae O (2010) Gender classification using local directional pattern (LDP). In: Pattern recognition (ICPR), 2010 20th International conference on. IEEE, pp 2162–2165 (2010). doi:10.1109/ICPR.2010.373

56.

Jain A, Huang J, Fang S (2005) Gender identification using frontal facial images. In: Multimedia and Expo, 2005. ICME 2005. IEEE international conference on, p 4

57.

Jain AK, Ross A, Prabhakar S (2004) An introduction to biometric recognition. IEEE Trans Circuits Syst 14(1):4–20

58.

Jesorsky O, Kirchberg K, Frischholz R (2001) Robust face detection using the Hausdorff distance. In: Bigun J, Smeraldi F (eds) Audio-and video-based biometric person authentication. Springer, Berlin, pp 90–95

59.

Khorsandi R, Abdel-Mottaleb M (2013) Gender classification using 2-D ear images and sparse representation. In: 2013 IEEE Workshop on applications of computer vision (WACV), pp 461–466. doi:10.1109/WACV.2013.6475055

60.

Khorsandi R, Abdel-mottaleb M (2013) Gender classification using facial images and basis pursuit. In: Computer analysis of images and patterns, pp 294–301

61.

Khoshkerdar E, Kanan HR (2013) Gender classification using GA-based adjusted order PZM and fuzzy similarity measure. In: 2013 13th Iranian conference on fuzzy systems (IFSC). IEEE, pp 1–4. doi:10.1109/IFSC.2013.6675684

62.

Lapedriza A, Marin-Jimenez M, Vitria J (2006) Gender recognition in non controlled environments. In: Pattern recognition, 2006. ICPR 2006. 18th International Conference on, vol 3, pp 834–837

63.

Lee JD, Lin CY, Huang CH (2013) Novel features selection for gender classification. In: 2013 IEEE international conference on mechatronics and automation. IEEE, pp 785–790

64.

Lee P, Hung J, Hung Y (2010) Automatic gender recognition using fusion of facial strips. In: Pattern recognition (ICPR), 2010 20th international conference on, pp 1140–1143

65.

Lee T (1996) Image representation using 2D Gabor wavelets. IEEE Trans Pattern Anal Mach Intell 18(10):959–971. doi:10.1109/34.541406

66.

Leng X, Wang Y (2008) Improving generalization for gender classification. In: Image processing, 2008. ICIP 2008. 15th IEEE international conference on. IEEE, pp 1656–1659

67.

Li B, Lian XC, Lu BL (2011) Gender classification by combining clothing, hair and facial component classifiers. Neurocomputing 1–10. doi:10.1016/j.neucom.2011.01.028

68.

Li M, Bao S, Dong W, Wang Y, Su Z (2013) Head-shoulder based gender recognition. In: ICIP, pp 2753–2756

69.

Li Z, Liu J, Tang J, Lu H (2015) Robust structured subspace learning for data pepresentation. IEEE Trans Pattern Anal Mach Intell X(X):1–1. doi:10.1109/TPAMI.2015.2400461

70.

Li Z, Zhou X (2009) Spatial gaussian mixture model for gender recognition. In: Image Processing (ICIP), 2009 16th, pp 45–48

71.

Lian H, Lu B (2006) Multi-view gender classification using local binary patterns and support vector machines. In: Advances in Neural Networks-ISNN 2006, pp. 202–209

72.

Lian H, Lu B, Takikawa E (2005) Gender recognition using a min-max modular support vector machine. In: Advances in Natural Computation, pp 433–436

73.

Liu F, Tang J, Song Y, Xiang X, Tang Z (2014) Local structure based sparse representation for face recognition with single sample per person. In: 2014 IEEE international conference on image processing (ICIP). IEEE, pp 713–717. doi:10.1109/ICIP.2014.7025143

74.

Lowe D (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91–110

75.

Lu H, Huang Y, Chen Y, Yang D (2008) Automatic gender recognition based on pixel-pattern-based texture feature. J Real Time Image Process 3(1):109–116. doi:10.1007/s11554-008-0072-2

76.

Lu L, Shi P (2009) A novel fusion-based method for expression-invariant gender classification. In: Acoustics, speech and signal processing, 2009. ICASSP 2009. IEEE international conference on, pp 1065–1068

77.

Lu L, Shi P (2009) Fusion of multiple facial regions for expression-invariant gender classification. IEICE Electron Express 6(10):587–593. doi:10.1587/elex.6.587

78.

Lu X, Chen H, Jain A (2005) Multimodal facial gender and ethnicity identification. In: Advances in Biometrics, pp 554–561

79.

Lyle JR, Miller PE, Pundlik SJ, Woodard DL (2012) Soft biometric classification using local appearance periocular region features. Pattern Recognit 45(11):3877–3885. doi:10.1016/j.patcog.2012.04.027

80.

Mairal J, Bach F, Ponce J (2012) Task-driven dictionary learning. IEEE Trans Pattern Anal Mach Intell 34(4):791–804. doi:10.1109/TPAMI.2011.156

81.

Mäkinen E, Raisamo R (2008) An experimental comparison of gender classification methods. Pattern Recognit Lett 29(10):1544–1556

82.

Makinen E, Raisamo R (2008) Evaluation of gender classification methods with automatically detected and aligned faces. Pattern Anal Mach Intell IEEE Trans 30(3):541–547

83.

Manesh FS, Ghahramani M, Tan YP (2010) Facial part displacement effect on template-based gender and ethnicity classification. In: 2010 11th international conference on control automation robotics & vision. IEEE, pp 1644–1649

84.

Martinez A, Benavante R (1998) The AR face database. Tech. rep. http://www.cat.uab.cat/Public/Publications/1998/MaB1998/CVCReport24.pdf. Accessed 18 Mar 2012

85.

Mayo M, Zhang E (2008) Improving face gender classification by adding deliberately misaligned faces to the training data. In: Image and vision computing New Zealand, 2008. IVCNZ 2008. 23rd International conference. IEEE, pp 1–5

86.

Messer K, Matas J, Kittler J, Luettin J, Maitre G (1999) XM2VTSdb: the extended M2VTS database. In: Proceedings 2nd conference on audio and video-base biometric personal verification (AVBPA99)

87.

Meyers E, Wolf L (2007) Using biologically inspired features for face processing. Int J Comput Vis 76(1):93–104. doi:10.1007/s11263-007-0058-8

88.

Mirza A, Hussain M (2013) Gender recognition using fusion of local and global facial features. In: Advances in Visual Computing, pp 493–502

89.

Moeini A, Moeini H (2015) Pose-invariant gender classification based on 3D face reconstruction and synthesis from single 2D image. Electron Lett 51(10):760–762. doi:10.1049/el.2015.0520

90.

Moghaddam B, Yang M (2002) Learning gender with support faces. Pattern Anal Mach Intell IEEE Trans 24(5):707–711

91.

Mozaffari S, Behravan H, Akbari R (2010) Gender classification using single frontal image per person: combination of appearance and geometric based features. In: 2010 20th international conference on pattern recognition. IEEE, pp 1192–1195. doi:10.1109/ICPR.2010.297

92.

Murphy-Chutorian E, Trivedi M (2009) Head pose estimation in computer vision: a survey. Pattern Anal Mach Intell IEEE Trans 31(4):607–626

93.

Ojala T, Pietikainen M (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. Pattern Anal Mach Intell IEEE Trans 24(7):971–987

94.

O’Toole A, Vetter T, Troje N, Bulthoff H (1997) Sex classification is better with three-dimensional head structure than with image intensity information. Perception 26:75

95.

Ozbudak O, Kirci M, Cakir Y, Gunes E (2010) Effects of the facial and racial features on gender classification. In: MELECON 2010–2010 15th IEEE Mediterranean Electrotechnical Conference, pp 26–29

96.

Phillips P, Moon H, Rizvi S, Rauss P (2000) The FERET evaluation methodology for face-recognition algorithms. Pattern Anal Mach Intell IEEE Trans 22(10):1090–1104

97.

Phillips PJ, Flynn PJ, Scruggs T, Bowyer KW, Chang J, Hoffman K, Marques J, Min J, Worek W (2005) Overview of the face recognition grand challenge. In: Computer vision and pattern recognition, 2005. CVPR 2005. IEEE computer society conference on, pp 947–954

98.

Phung SL, Bouzerdoum A (2007) A pyramidal neural network for visual pattern recognition. IEEE Trans Neural Netw 18(2):329–43. doi:10.1109/TNN.2006.884677

99.

Rai P, Khanna P (2010) Gender classification using radon and wavelet transforms. In: Industrial and information systems (ICIIS), 2010 international conference on. IEEE, pp 448–451

100.

Rai P, Khanna P (2014) A gender classification system robust to occlusion using Gabor features based (2D)2PCA. J Vis Commun Image Represent 25(5):1118–1129. doi:10.1016/j.jvcir.2014.03.009

101.

Ramón-Balmaseda E, Lorenzo-Navarro J, Castrillón-Santana M (2012) Gender classification in large databases. In: Progress in pattern recognition, image analysis, computer vision, and applications, pp 74–81. doi:10.1007/978-3-642-33275-3_9

102.

Ricanek K, Tesafaye T (2006) Morph: a longitudinal image database of normal adult age-progression. In: Automatic face and gesture recognition, 2006. FGR 2006. 7th International conference on. IEEE, pp 341–345

103.

Riesenhuber M, Poggio T (1999) Hierarchical models of object recognition in cortex. Nat Neurosci 2(11):1019–25. doi:10.1038/14819

104.

Rojas-Bello RN, Lago-Fernandez LF, Martinez-Munoz G, Sdnchez-Montanes MA (2011) A comparison of techniques for robust gender recognition. In: 2011 18th IEEE international conference on image processing. IEEE, pp 561–564. doi:10.1109/ICIP.2011.6116610

105.

Ross A, Chen C (2011) Can gender be predicted from near-infrared face images? In: Image analysis and recognition, pp 120–129 (2011)

106.

Roweis S, Saul L (2000) Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500):2323–2326

107.

Saatci Y, Town C (2006) Cascaded classification of gender and facial expression using active appearance models. In: Automatic face and gesture recognition, 2006. FGR 2006. 7th International conference on, pp 393–398

108.

Scalzo F, Bebis G, Nicolescu M, Loss L, Tavakkoli A (2008) Feature fusion hierarchies for gender classification. In: Pattern Recognition, 2008. ICPR 2008. 19th International conference on, Section 2. IEEE, pp 1–4 (2008)

109.

Shakhnarovich G, Viola P, Moghaddam B (2002) A unified learning framework for real time face detection and classification. In: Proceedings of Fifth IEEE international conference on automatic face gesture recognition, pp 16–23. doi:10.1109/AFGR.2002.1004124

110.

Shan C (2012) Learning local binary patterns for gender classification on real-world face images. Pattern Recognit Lett 33(4):431–437. doi:10.1016/j.patrec.2011.05.016

111.

Shen BC, Chen CS, Hsu HH (2009) Fast gender recognition by using a shared-integral-image approach. In: Acoustics, speech and signal processing, 2009. ICASSP 2009. IEEE international conference on, pp 521–524

112.

Shen H, Ma L, Zhang Q (2010) Gender categorization based on 3D faces. In: 2010 2nd International conference on advanced computer control. IEEE, pp 617–620. doi:10.1109/ICACC.2010.5487127

113.

Shih HC (2013) Robust gender classification using a precise patch histogram. Pattern Recognit 46(2):519–528. doi:10.1016/j.patcog.2012.08.003

114.

Shobeirinejad A, Gao Y (2010) Gender classification using interlaced derivative patterns. In: 2010 20th International conference on pattern recognition. IEEE, pp 1509–1512. doi:10.1109/ICPR.2010.1118

115.

Sim T, Baker S, Bsat M (2002) The CMU pose, illumination, and expression (PIE) database. In: Proceedings of Fifth IEEE international conference on automatic face gesture recognition. IEEE, pp 53–58. doi:10.1109/AFGR.2002.1004130

116.

Sun Z, Bebis G, Yuan X, Louis S (2002) Genetic feature subset selection for gender classification: a comparison study. In: Applications of computer vision, 2002. (WACV 2002). Proceedings Sixth IEEE Workshop on. IEEE, pp 165–170

117.

Tamura S, Kawai H, Mitsumoto H (1996) Male/female identification from 8x6 very low resolution face images by neural network. Pattern Recognit 29(2):331–335CrossRef

118.

Tapia JE, Perez CA (2013) Gender classification based on fusion of different spatial scale features selected by mutual information from histogram of LBP, intensity, and shape. IEEE Trans Inf Forensics Secur 8(3):488–499. doi:10.1109/TIFS.2013.2242063 CrossRef

119.

Tapia JE, Perez CA (2013) Gender classification using one half face and feature selection based on mutual information. In: 2013 IEEE international conference on systems, man, and cybernetics, pp 3282–3287. doi:10.1109/SMC.2013.559

120.

Tariq U, Hu Y, Huang T (2009) Gender and ethnicity identification from silhouetted face profiles. In: Image processing (ICIP), 2009 16th IEEE international conference on. IEEE, pp 2441–2444

121.

Tivive FHC, Bouzerdoum A (2006) A gender recognition system using shunting inhibitory convolutional neural networks. In: The 2006 IEEE international joint conference on neural network proceedings. IEEE, pp 5336–5341. doi:10.1109/IJCNN.2006.247311

122.

Toderici G, O’Malley SM, Passalis G, Theoharis T, Kakadiaris IA (2010) Ethnicity- and gender-based subject retrieval using 3-D face-recognition techniques. Int J Comput Vis 89(2–3):382–391. doi:10.1007/s11263-009-0300-7

123.

Ueki K, Kobayashi T (2008) Gender classification based on integration of multiple classifiers using various features of facial and neck images. Inf Media Technol 3(2):479–485

124.

Ullah I, Hussain M (2012) Gender recognition from face images with dyadic wavelet transform and local binary pattern. In: Advances in Visual Computing, pp 409–419. doi:10.1007/978-3-642-33191-6_40

125.

Viola P, Jones M (2001) Rapid object detection using a boosted cascade of simple features. In: Computer vision and pattern recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE computer society conference on, vol 1, pp I-511-518

126.

Viola P, Jones MJ (2004) Robust real-time face detection. Int J Comput Vis 57(2):137–154. doi:10.1023/B:VISI.0000013087.49260.fb

127.

Wang J, Li J, Lee C, Yau W (2010) Dense SIFT and Gabor descriptors-based face representation with applications to gender recognition. In: Control automation robotics & vision (ICARCV), 2010 11th International conference on. IEEE, pp 1860–1864

128.

Wang J, Li J, Yau W, Sung E (2010) Boosting dense SIFT descriptors and shape contexts of face images for gender recognition. In: Computer vision and pattern recognition workshops (CVPRW), 2010 IEEE computer society conference on. IEEE, pp 96–102

129.

Wang J, Yau W (2014) Real-time moustache detection by combining image decolorization and texture detection with applications to facial gender recognition. Mach Vis Appl 25(4):1089–1099

130.

Wang Y, Ricanek K, Chen C, Chang Y (2010) Gender classification from infants to seniors. In: Biometrics: theory applications and systems (BTAS), 2010 Fourth IEEE international conference on, pp 1–6 (2010)

131.

Wiskott L, Fellous JM, Kruger N, Bochum RU, Angeles L (1995) Face recognition and gender determination, pp 92–97

132.

Wright J, Yang AY, Ganesh A, Sastry SS, Ma Y (2009) Robust face recognition via sparse representation. IEEE Trans Pattern Anal Mach Intell 31(2):210–227. doi:10.1109/TPAMI.2008.79

133.

Wu J, Smith WAP, Hancock ER (2011) Gender discriminating models from facial surface normals. Pattern Recognit 44(12):2871–2886. doi:10.1016/j.patcog.2011.04.013

134.

Wu TX, Lian XC, Lu BL (2011) Multi-view gender classification using symmetry of facial images. In: Neural computing and applications. Springer, Berlin, pp 1–9

135.

Xia B, Amor BB, Huang D, Daoudi M, Wang Y, Drira H (2013) Enhancing gender classification by combining 3D and 2D face modalities. In: Signal processing conference (EUSIPCO), 2013 Proceedings of the 21st European, pp 3–7

136.

Xia B, Sun H, Lu Bl (2008) Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines. In: Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, pp 3388–3395

137.

Xu Z, Lu L, Shi P (2008) A hybrid approach to gender classification from face images. In: Pattern recognition, 2008. ICPR 2008. 19th International conference on. IEEE, pp 1–4

138.

Yang J, Jiao Y, Xiong N, Park D (2013) Fast face gender recognition by using local ternary pattern and extreme learning machine. KSII Trans Internet Inf Syst (TIIS) 7(7):1705–1720

139.

Yang J, Zhang D, Frangi AF, Yang JY (2004) Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans Pattern Anal Mach Intell 26(1):131–137. doi:10.1109/TPAMI.2004.10004

140.

Yang W, Chen C, Ricanek K, Sun C (2011) Gender classification via global-local features fusion. In: Biometric recognition, pp 214–220. doi:10.1007/978-3-642-25449-9_27

141.

Yang W, Sethuram A, Patternson E, Ricanek K, Sun C (2011) Gender classification using the profile. In: Advances in Neural Networks-ISNN 2011, pp 288–295

142.

Yang Z, Ai H (2007) Demographic classification with local binary patterns. In: Advances in Biometrics, pp 464–473

143.

Yao B, Bradski G, Fei-Fei L (2012) A codebook-free and annotation-free approach for fine-grained image categorization. In: 2012 IEEE conference on computer vision and pattern recognition. IEEE, pp 3466–3473. doi:10.1109/CVPR.2012.6248088

144.

Ylioinas J, Hadid A, Pietikäinen M (2011) Combining contrast information and local binary patterns for gender classification. In: Image Analysis, pp 676–686 (2011)

145.

Zafeiriou S, Tefas A, Pitas I (2008) Gender determination using a support vector machine variant. In: 16th European signal processing conference (EUSIPCO-2008), Lausanne, Switzerland, Eusipco, pp 2–6

146.

Zhang C, Zhang Z (2010) A survey of recent advances in face detection. In: Microsoft Research. http://research.microsoft.com/en-us/um/people/chazhang/publications/tr2010-66_chazhang.pdf. Accessed 18 Mar 2012

147.

Zhang G, Wang Y (2011) Hierarchical and discriminative bag of features for face profile and ear based gender classification. In: 2011 International joint conference on biometrics (IJCB), pp 1–8. doi:10.1109/IJCB.2011.6117590

148.

Zhang T, Tao D, Li X, Yang J (2009) Patch alignment for dimensionality reduction. Knowl Data Eng IEEE Trans 21:1299–1313

149.

Zheng J, Lu Bl (2011) A support vector machine classifier with automatic confidence and its application to gender classification. Neurocomputing 74(11):1926–1935. doi:10.1016/j.neucom.2010.07.032

150.

Zhou LB, Wang H (2012) Local gradient increasing pattern (LGIP) for facial representation and gender recognition. In: Image analysis and recognition, pp 46–53

Title: A review of facial gender recognition
Authors: Choon-Boon Ng
Yong-Haur Tay
Bok-Min Goi
Publication date: 01-11-2015
Publisher: Springer London
Published in: Pattern Analysis and Applications / Issue 4/2015
Print ISSN: 1433-7541
Electronic ISSN: 1433-755X
DOI: https://doi.org/10.1007/s10044-015-0499-6

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