Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 2/2019

31-08-2017 | Original Article

Colour face recognition using fuzzy quaternion-based discriminant analysis

Authors: Shuzhe Bao, Xiaoning Song, Guosheng Hu, Xibei Yang, Chunli Wang

Published in: International Journal of Machine Learning and Cybernetics | Issue 2/2019

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Colour information has been shown to be effective in improving object recognition performance. In this paper, we propose a novel quaternion-based colour model with enhanced fuzzy parameterized discriminant analysis to perform face recognition. The proposed method represents and classifies colour images by using an improved fuzzy quaternion-based discriminant (FQD) model, which is effective for colour image feature representation, extraction and classification. More specifically, each pixel in a colour image is first assigned a quaternion number, and a quaternion-based vector is then generated to represent this colour image. Second, an enhanced fuzzy parameterized discriminant analysis is used to transform the original quaternion-based vector into an optimized discriminant quaternion space. Third, colour face recognition is conducted by interpreting the colour feature model as fuzzy weight measurement in a quaternion discriminant analysis. The main contribution of this paper is that it provides a novel fuzzy supervised learning approach to reconstruct the quaternion-based discriminant vector space, thus showing the importance of the FQD characteristic from colour spaces for colour-image-based face recognition. Experimental results on the AR and Georgia Tech colour datasets demonstrate the effectiveness of the proposed method.
previous article v-soft margin multi-task learning logistic regression
next article Semi-supervised rough fuzzy Laplacian Eigenmaps for dimensionality reduction

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Show more products
Literature
1.
Yang J, Liu CJ, Zhang L (2010) Color space normalization: enhancing the discriminating power of color spaces for face recognition. Pattern Recognit 43:1454–1466MATHCrossRef
2.
Liu CJ (2011) Extracting discriminative color features for face recognition. Pattern Recognit Lett 32:1796–1804CrossRef
3.
Zhao CR, Miao DQ, Lai ZH, Gao C, Liu CC, Yang JY (2013) Two-dimensional color uncorrelated discriminant analysis for face recognition. Neurocomputing 113:251–261CrossRef
4.
Luo J, Crandall D (2006) Color object detection using spatial-color joint probability functions. IEEE Trans Image Process 15(6):1443–1453CrossRef
5.
Gevers T, Stokman H (2004) Robust histogram construction from color invariants for object recognition. IEEE Trans Pattern Anal Mach Intell 26(1):113–118CrossRef
6.
Diplaros A, Gevers T, Patras I (2006) Combining color and shape information for illumination-viewpoint invariant object recognition. IEEE Trans Image Process 15(1):1–11CrossRef
7.
Dong G, Xie M (2005) Color clustering and learning for image segmentation based on neural networks. IEEE Trans Neural Netw 16(4):925–936CrossRef
8.
Stokman H, Gevers T (2007) Selection and fusion of color models for image feature detection. IEEE Trans Pattern Anal Mach Intell 29(3):371–381CrossRef
9.
Park SC, Park MK, Kang MG (2003) Super-resolution image reconstruction: a technical overview. IEEE Signal Process Mag 20(3):21–36CrossRef
10.
Yang J, Wright J, Huang T, Ma Y, Image super-resolution as sparse representation of raw image patches. In: IEEE Conference on Computer Vision and Pattern Recognition, 2008, pp 1–8
11.
12.
Xia Z, Wang X, Zhang L, Qin Z, Sun X, Ren K (2016) A privacy-preserving and copy-deterrence content-based image retrieval scheme in cloud computing. IEEE Trans Inf Forensics Secur 11(11):2594–2608CrossRef
13.
Li J, Li X, Yang B, Sun X (2015) Segmentation-based image copy-move forgery detection scheme. IEEE Trans Inf Forensics Secur 10(3):507–518CrossRef
14.
Zheng Y, Jeon B, Xu D, Wu Q, Zhang H (2015) Image segmentation by generalized hierarchical fuzzy c-means algorithm. J Intell Fuzzy Syst 28(2):961–973
15.
Pan Z, Lei J, Zhang Y, Sun X, Kwong S (2016) Fast motion estimation based on content property for low-complexity h. 265/hevc encoder. IEEE Trans Broadcast 62(3):675–684CrossRef
16.
Pan Z, Zhang Y, Kwong S (2015) Efficient motion and disparity estimation optimization for low complexity multiview video coding. IEEE Trans Broadcast 61(2):166–176CrossRef
17.
Pan Z, Jin P, Lei J, Zhang Y, Sun X, Kwong S (2016) Fast reference frame selection based on content similarity for low complexity hevc encoder. J Visual Commun Image Represent 40:516–524CrossRef
18.
Feng Z-H, Huber P, Kittler J, Christmas W, Wu X-J (2015) Random cascaded-regression copse for robust facial landmark detection. IEEE Signal Process Lett 1(22):76–80CrossRef
19.
Evangelidis GD, Psarakis EZ (2008) Parametric image alignment using enhanced correlation coefficient maximization. IEEE Trans Pattern Anal Mach Intell 30(10):1858–1865CrossRef
20.
Wright A.Wagner, J., Ganesh A, Zhou Z, Mobahi H, Ma Y (2012) Toward a practical face recognition system: Robust alignment and illumination by sparse representation. IEEE Trans Pattern Anal Mach Intell 34(2):372–386CrossRef
21.
Chen B, Shu H, Coatrieux G, Chen G, Sun X, Coatrieux JL (2015) Color image analysis by quaternion-type moments. J Math Imaging Vision 51(1):124–144MathSciNetMATHCrossRef
22.
Mohideen SK, Perumal SA, Sathik MM (2008) Image de-noising using discrete wavelet transform. Int J Comput Sci Netw Secur 8(1):213–216
23.
Dong W, Li X, Zhang D, Shi G (2011) Sparsity-based image denoising via dictionary learning and structural clustering. In: IEEE International Conference on Computer Vision and Pattern Recognition, pp 457–464
24.
Wang J, Li T, Shi Y-Q, Lian S, Ye J (2016) Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics. Multimed Tools Appl. doi:10.​1007/​s11042-016-4153-0 CrossRef
25.
Zhou Z, Wang Y, Wu QJ, Yang C-N, Sun X (2016) Effective and efficient global context verification for image copy detection. IEEE Trans Inf Forensics Secur 12(1):48–63CrossRef
26.
Zhili Z, Ching-Nung Y, Xingming S, Qi L, WU QJ (2016) Effective and efficient image copy detection with resistance to arbitrary rotation. IEICE Trans Inform Syst 99(6):1531–1540
27.
Chen Y, Hao C, Wu W, Wu E (2016) Robust dense reconstruction by range merging based on confidence estimation. Sci China Inform Sci 59(9):092103CrossRef
28.
Wang Xizhao, Xing Hong-Jie, Li Yan et al (2015) A study on relationship between generalization abilities and fuzziness of base classifiers in ensemble learning. IEEE Trans Fuzzy Syst 23(5):1638–1654CrossRef
29.
Cheng Y, Jin Z, Chen H (2016) A fast and robust face recognition approach combining Gabor learned dictionaries and collaborative representation. Int J Mach Learn Cybern 7(1):47–52CrossRef
30.
Nouyed I, Poon B, Amin MA (2016) A study on the discriminating characteristics of Gabor phase-face and an improved method for face recognition. Int J Mach Learn Cybern 7(6):1115–1130CrossRef
31.
32.
Yuan C, Sun X, Lv R (2016) Fingerprint liveness detection based on multi-scale lpq and pca. China Commun 13(7):60–65CrossRef
33.
34.
Song XN, Feng ZH, Hu GS, Wu XJ (2017) Half-face dictionary integration for representation-based classification. IEEE Trans Cybern 47(1):142–152CrossRef
35.
Gu B, Sheng VS, Tay KY, Romano W, Li S (2015) Incremental support vector learning for ordinal regression. IEEE Trans Neural Netw Learn Syst 26(7):1403–1416MathSciNetCrossRef
36.
Shih P, Liu C (2005) Comparative assessment of content-based face image retrieval in different color spaces. Int J Pattern Recog Artif Intell 19(7):873–893CrossRef
37.
Buchsbaum WH (1975) Color TV servicing[M], 3rd edn. Prentice-Hall, Englewood Cliffs, NJ
38.
Yang J, Liu C, A (2008) Discriminant color space method for face representation and verification on a large-scale database, in: International Conference on Pattern Recognition 2008 (ICPR 2008), Tampa, Florida, USA
39.
Belhumeur PN, Hespanha JP, Kriegman DJ (1997) Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19:711–720CrossRef
40.
41.
Denis P, Carre P, Fernandez-Maloigne C (2007) Spatial and spectral quaternionic approaches for colour images. Comput Vision Image Underst 107:74–87CrossRef
42.
Shi L, Funt B (2007) Quaternion color texture segmentation. Comput Vision Image Underst 107:88–96CrossRef
43.
44.
Pei SC, Chang JH, Ding JJ (2001) Efficient implementation of quaternion Fourier transform, convolution, and correlation by 2-D complex FFT. IEEE Trans Signal Process 49(11):2783–2797MathSciNetMATHCrossRef
45.
Pei SC, Chang JH, Ding JJ (2004) Commutative reduced biquaternions and their Fourier transform for signal and image processing applications. IEEE Trans Signal Process 52(7):2012–2031MathSciNetMATHCrossRef
46.
Nicolas LB, Jerome M (2004) Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing. Signal Process 84(7):1177–1199MATHCrossRef
47.
Yang J, Liu CJ, Yang JY (2010) What kind of color spaces is suitable for color face recognition? Neurocomputing 73:2140–2146CrossRef
48.
Kwak KC, Pedrycz W (2005) Face recognition using a fuzzy Fisherface classifier. Pattern Recognit 38(10):1717–1732CrossRef
49.
Keller JM, Gray MR, Givens JA (1985) A fuzzy k-nearest neighbor algorithm. IEEE Trans Syst Man Cybern 15(4):580–585CrossRef
50.
Song XN, Zheng YJ, Wu XJ, Yang XB, Yang JY (2010) A complete fuzzy discriminant analysis approach for face recognition. Appl Soft Comput 10:208–214CrossRef
51.
Yang J, Frangi AF, Yang JY, Zhang D, Jin Z (2005) KPCA plus LDA: a complete kernel fisher discriminant framework for feature extraction and recognition. IEEE Trans Pattern Anal Mach Intell 27(2):230–244CrossRef
52.
Song X, Yang J, Wu X et al (2011) An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recognition. Soft Comput 15(2):281–293MATHCrossRef
53.
Atencia MA, Joya G, Sandoval F (2004) Parametric identification of robotic systems with stable time-varying Hopfield networks. Neural Comput Appl 13:270–280,MATHCrossRef
54.
Hu ZN, Balakrishnan SN (2005) Parameter estimation in nonlinear systems using Hopfield neural networks. J Aircr 42(1):41–53CrossRef
55.
Alonso H, Mendonça T, Rocha P (2009) Hopfield neural networks for on-line parameter estimation. Neural Netw 22:450–462MATHCrossRef
56.
Xu Y, Zhu Q, Fan Z, Wang Y, Pan J-S (2013) From the idea of “sparse representation” to a representation-based transformation method for feature extraction. Neurocomputing 113:168–176
57.
Xu Y, Zhang D (2010) Represent and fuse bimodal biometric images at the feature level: complex-matrix-based fusion scheme. Opt Eng 49(3):037002CrossRef
58.
Senthilkumar R, Gnanamurthy RK (2014) A detailed survey on 2D and 3D still face and face video databases part I, in: International Conference on Communication and Signal Processing (ICCSP), India, 3-5 April 2014, pp 1405–1409
59.
Martinez AM, Benavente R (1998) “The AR face database,” Centre de Visió per Computador (CVC), Universitat Autònoma de Barcelona, Barcelona, Spain, Tech. Rep. 24
Metadata
Title
Colour face recognition using fuzzy quaternion-based discriminant analysis
Authors
Shuzhe Bao
Xiaoning Song
Guosheng Hu
Xibei Yang
Chunli Wang
Publication date
31-08-2017
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 2/2019
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-017-0722-4

Other articles of this Issue 2/2019

International Journal of Machine Learning and Cybernetics 2/2019 Go to the issue

Original Article

KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification

Original Article

Network design of a multi-period collaborative distribution system

Original Article

Semi-supervised rough fuzzy Laplacian Eigenmaps for dimensionality reduction

Original Article

Adaptive guided differential evolution algorithm with novel mutation for numerical optimization

Original Article

v-soft margin multi-task learning logistic regression

Original Article

A novel framework based on biclustering for automatic epileptic seizure detection