Skip to main content
SpringerLink
Log in

Face image retrieval via sum and difference histograms of elliptical local ternary pattern

  • S.I. : Visvesvaraya
  • Published:
CSI Transactions on ICT Aims and scope Submit manuscript

Abstract

This paper presents a new feature extraction method called sum and difference histograms of elliptical local ternary pattern (SDH-ELTP) for face image retrieval. This technique first calculates sparse local ternary pattern (LTP) in an elliptical shaped neighborhood and then higher order statistical texture information is extracted via sum and difference histograms (SDH) of elliptical LTP features. In sparse elliptical LTP, a 4 point LTP from horizontal and vertical elliptical neighborhoods and 4 point LTP from simple diagonal neighborhood is considered. The SDH is calculated only in relevant directions. Since the sum and difference histogram provides higher order statistical information, the calculation of SDH of elliptical LTP features further enhances the discriminativeness of proposed descriptor. The SDH-ELTP is finally tested on two popular face image databases and the results are compared with several recent state of the art techniques. The SDH-ELTP is low dimensional and show the best retrieval results as compared to all other face image retrieval techniques.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Verma M, Raman B (2015) Center symmetric local binary co-occurrence pattern for texture, face and bio-medical image retrieval. J Vis Commun Image Represent 32:224–236

    Article  Google Scholar 

  2. Haralick RM, Shanmugam K et al (1973) Textural features for image classification. IEEE Trans Syst Man Cybern 6:610–621

    Article  Google Scholar 

  3. Unser M (1986) Sum and difference histograms for texture classification. IEEE Trans Pattern Anal Mach Intell 1:118–125

    Article  Google Scholar 

  4. Ojala T, Pietikäinen M, Harwood D (1996) A comparative study of texture measures with classification based on featured distributions. Pattern Recognit 29(1):51–59

    Article  Google Scholar 

  5. Tan X, Triggs W (2010) Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Trans Image Process 19(6):1635–1650

    Article  MathSciNet  Google Scholar 

  6. Nguyen H-T, Caplier A (2012) Elliptical local binary patterns for face recognition. In: Asian conference on computer vision. Springer, pp 85–96

  7. Hegenbart S, Uhl A, Vécsei A (2013) An affine invariant local ternary patterns method, Technical Report 2013-03, Technical Report Series, Department of Computer Sciences, Universitat Salzburg, Austria

  8. Verma M, Raman B (2016) Local tri-directional patterns: a new texture feature descriptor for image retrieval. Digit Signal Process 51:62–72

    Article  MathSciNet  Google Scholar 

  9. Dubey SR (2019) Face retrieval using frequency decoded local descriptor. Multimed Tools Appl 78:16411–16431. https://doi.org/10.1007/s11042-018-7028-8

    Article  Google Scholar 

  10. Naghashi V (2018) Co-occurrence of adjacent sparse local ternary patterns: a feature descriptor for texture and face image retrieval. Optik 157:877–889

    Article  Google Scholar 

  11. Hatibaruah R, Nath VK, Saikia KJ, Hazarika D (2019) Elliptical local binary co-occurrence pattern for face image retrieval. J Stat Manag Syst 22(2):223–236

    Article  Google Scholar 

  12. Hatibaruah R, Nath VK, Hazarika D (2020) Biomedical CT image retrieval using 3D local oriented zigzag fused pattern. In: IEEE national conference on communications (NCC), IIT Kharagpur, pp 1–6

  13. Hatibaruah R, Nath VK, Hazarika D (2019) An effective texture descriptor for retrieval of biomedical and face images based on co-occurrence of similar center-symmetric local binary edges. Int J Comput Appl. https://doi.org/10.1080/1206212X.2019.1590953

  14. Hatibaruah R, Nath VK, Hazarika D (2019) Texture image retrieval using multiple filters and decoded sparse local binary pattern. In: textitLecture notes in computer science, vol 11941, pp 541–550

  15. Hatibaruah R, Nath VK, Hazarika D (2019) Local bit plane adjacent neighborhood dissimilarity pattern for medical CT image retrieval. Procedia Comput Sci 165:83–89

    Article  Google Scholar 

  16. Baruah HG, Nath VK, Hazarika D (2019) Image denoising based on nonsubsampled shearlet transform domain laplacian mixture model and bilateral filter and its method noise thresholding. In: IEEE TENCON, Kochi, India, pp 463–469

  17. Baruah HG, Nath VK, Hazarika D (2019) Remote sensing image retrieval via symmetric normal inverse Gaussian modeling of nonsubsampled shearlet transform coefficients. In: Lecture notes in computer science, vol 11942, pp 359–368

Download references

Acknowledgements

We would like to acknowledge the financial support from Digital India Corporation (formerly Media Lab Asia), Ministry of Electronics and Information Technology (Grant No. PhD-MLA/4(41)/2015-16/01), Govt. of India, through Visvesvaraya Ph.D scheme for carrying out these research activities.

Author information

Authors and Affiliations

  1. Department of ECE, School of Engineering, Tezpur University (A Central University), Napaam, Tezpur, Assam, 784028, India

    Rakcinpha Hatibaruah, Vijay Kumar Nath & Deepika Hazarika

Authors
  1. Rakcinpha Hatibaruah
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vijay Kumar Nath
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Deepika Hazarika
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vijay Kumar Nath.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hatibaruah, R., Nath, V.K. & Hazarika, D. Face image retrieval via sum and difference histograms of elliptical local ternary pattern. CSIT 8, 285–291 (2020). https://doi.org/10.1007/s40012-020-00292-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40012-020-00292-6

Keywords

Search

Navigation