Skip to main content
SpringerLink
Log in

Robust Color Texture Descriptors for Color Face Recognition

  • Conference paper
  • First Online:
Proceedings of International Conference on Recent Innovations in Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1001))

  • 283 Accesses

Abstract

Extraction of the local color texture has been one of the most desired and challenging research areas in face image recognition due to the ever-increasing use of color face images in numerous applications including biometric pattern matching, surveillance, and security. In this paper, we propose two novel color local texture descriptors called the local binary pattern of correlation of adjacent pixels (LBPC_A) and the local binary pattern of correlation of neighborhood pixels with the center pixel (LBPC_C). These two operators provide different local characteristics of an image. The operator LBPC_A provides the low-order texture characteristics while the operator LBPC_C provides the high-order texture characteristics. When these two operators are fused at the feature level, they provide high recognition rates with a small feature size for the face images. The resulting approach is referred to as LBPC_A + LBPC_C. The performance of the proposed operators has been compared with the state-of-the-art LBP-like operators on three color face databases-FERET, CMU-PIE, and AR. Experiments conducted on FERET, CMP-PIE, and AR demonstrate that the proposed descriptors outperform the state-of-the-art color texture descriptors.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Turk MA, Pentland AP (1991) Face recognition using eigenfaces. In: IEEE computer society conference on computer vision and pattern recognition. IEEE Computer Society, pp 586–587

    Google Scholar 

  2. Belhumeur PN, Hespanha JP, Kriegman DJ (1997) Eigenfaces vs. fisher faces: recognition using class specific linear projection. In: European conference on computer vision. Springer, Berlin, Heidelberg, pp 43–58

    Google Scholar 

  3. Topi M, Matti P, Timo O (2000) Texture classification by multi-predicate local binary pattern operators. In: 15th international conference on pattern recognition (ICPR-2000), pp 939–942

    Google Scholar 

  4. Topi M, Timo O, Matti P, Maricor S (2000) Robust texture classification by subsets of local binary patterns. In: 15th international conference on pattern recognition (ICPR-2000), pp 935–938

    Google Scholar 

  5. Pietikäinen M, Mäenpää T, Viertola J, Pietikainen M, Maenpaa T, Viertola J (2002) Color texture classification with color histograms and local binary patterns. In: Workshop on texture analysis in machine vision, pp 1–4

    Google Scholar 

  6. Guo Y, Zhao G, Pietikäinen M (2012) Discriminative features for texture description. Pattern Recogn 45(10):3834–3843

    Article  Google Scholar 

  7. Ahonen T, Hadid A, Pietikäinen M, Pietik M (2004) Face recognition with local binary patterns. In: European conference on computer vision. Springer, Berlin, Heidelberg, pp 469–481

    Google Scholar 

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

    Article  MATH  Google Scholar 

  9. Ahonen T, Hadid A, Pietikäinen M (2006) Face description with local binary patterns: application to face recognition. IEEE Trans Pattern Anal Mach Intell 28(12):2037–2041

    Article  MATH  Google Scholar 

  10. Huang D, Shan C, Ardabilian M, Wang Y, Chen L (2011) Local binary patterns and its application to facial image analysis: a survey. IEEE Trans Syst Man Cybern Part C (Applications and Reviews) 41(6):765–781

    Google Scholar 

  11. Shan C, Gong S, McOwan PW (2005) Robust facial expression recognition using local binary patterns. In: IEEE international conference on image processing. IEEE, Genova, Italy, pp II-370

    Google Scholar 

  12. Zhao G, Pietikainen M (2007) Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Trans Pattern Anal Mach Intell 29(6):915–928

    Article  Google Scholar 

  13. Shan C, Gong S, McOwan PW (2009) Facial expression recognition based on local binary patterns: a comprehensive study. Image Vis Comput 27(6):803–816

    Article  Google Scholar 

  14. Takala V, Ahonen T, Pietikainen M (2005) Block-based methods for image retrieval using local binary patterns. In: Scandinavian conference on image analysis. Springer, Berlin, Heiledlberg, pp 882–891

    Google Scholar 

  15. Zhang B, Gao Y, Zhao S, Liu J (2009) Local derivative pattern versus local binary pattern: face recognition with high-order local pattern descriptor. IEEE Trans Image Process 19(2):533–544

    Article  MathSciNet  MATH  Google Scholar 

  16. Murala S, Maheshwari RP, Balasubramanian R (2012) Local tetra patterns: a new feature descriptor for content-based image retrieval. IEEE Trans Image Process 21(5):2874–2886

    Article  MathSciNet  MATH  Google Scholar 

  17. Fan KC, Hung TY (2014) A novel local pattern descriptor-local vector pattern in high-order derivative space for face recognition. IEEE Trans Image Process 23(7):2877–2891

    Article  MathSciNet  MATH  Google Scholar 

  18. Maenpaa T, Pietikainen M, Viertola J (2002) Separating color and pattern information for color texture discrimination. In: Object recognition supported by user interaction for service robots. IEEE, Quebec, Canada, pp 668–671

    Google Scholar 

  19. Mäenpää T, Pietikäinen M (2004) Classification with color and texture: jointly or separately? Pattern Recogn 37(8):1629–1640

    Article  Google Scholar 

  20. Choi JY, Ro YM, Member S, Plataniotis KN (2012) Color local texture features for color face recognition. IEEE Trans Image Process 21(3):1366–1380

    Article  MathSciNet  MATH  Google Scholar 

  21. Lu J, Plataniotis KN, Venetsanopoulos AN (2003) Regularized discriminant analysis for the small sample size problem in face recognition. Pattern Recogn Lett 24(16):3079–3087

    Article  Google Scholar 

  22. Jiang X, Mandal B, Kot A (2008) Eigenfeature regularization and extraction in face recognition. IEEE Trans Pattern Anal Mach Intell 30(3):383–394

    Article  Google Scholar 

  23. Lee SH, Choi JY, Ro YM, Plataniotis KN (2012) Local color vector binary patterns from multichannel face images for face recognition. IEEE Trans Imge Process 21(4):2347–2353

    Article  MathSciNet  MATH  Google Scholar 

  24. Lan R, Zhou Y, Member S, Tang YY (2016) Quaternionic local ranking binary pattern: a local descriptor of color images. IEEE Trans Image Process 25(2):566–579

    Article  MathSciNet  MATH  Google Scholar 

  25. Singh C, Walia E, Kaur KP (2018) Color texture description with novel local binary patterns for effective image retrieval. Pattern Recogn 76:50–68

    Article  Google Scholar 

  26. Li J, Sang N, Gao C (2016) Completed local similarity pattern for color image recognition. Neurocomputing 182:111–117

    Article  Google Scholar 

  27. Dubey SR, Singh SK, Singh RK (2016) Multichannel decoded local binary patterns for content-based image retrieval. IEEE Trans Image Process 25(9):4018–4032

    Article  MathSciNet  MATH  Google Scholar 

  28. Sim T, Baker S, Bsat M (2003) The CMU pose, illuminlation, and expression database. IEEE Trans Pattern Anal Mach Intell 25(12):1615–1618

    Article  Google Scholar 

  29. Martinez AM, Benavente R (1998) The AR face database. CVC Technical Report 24

    Google Scholar 

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

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, Punjabi University, Patiala, 147002, India

    Shahbaz Majeed & Chandan Singh

Authors
  1. Shahbaz Majeed
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chandan Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shahbaz Majeed .

Editor information

Editors and Affiliations

  1. Computer Science and IT Department, Central University of Jammu, Jammu, Jammu and Kashmir, India

    Yashwant Singh

  2. Department of Computer Science, KIET Group of Institutions, Ghaziabad, Uttar Pradesh, India

    Pradeep Kumar Singh

  3. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

    Maheshkumar H. Kolekar

  4. School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Arpan Kumar Kar

  5. IDMEC, Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal

    Paulo J. Sequeira Gonçalves

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Majeed, S., Singh, C. (2023). Robust Color Texture Descriptors for Color Face Recognition. In: Singh, Y., Singh, P.K., Kolekar, M.H., Kar, A.K., Gonçalves, P.J.S. (eds) Proceedings of International Conference on Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 1001. Springer, Singapore. https://doi.org/10.1007/978-981-19-9876-8_26

Download citation

Publish with us

Policies and ethics

Search

Navigation