Skip to main content

The Bread Recognition System with Logistic Regression

  • Conference paper
  • First Online:
New Trends in Computer Technologies and Applications (ICS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1013))

Included in the following conference series:

Abstract

With the advancement of technology, image processing has become very common and widely used in the field of detection and recognition. This paper uses the digital image processing method to capture the feature of breads and recognize them. The experimental results: First detect the bread and then capture the image features. Finally, using Logistic Regression to classify them. The highest score as the recognition result. Through the above we can achieve effective and outstanding results.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Morimoto, M., Higasa, A.: A bread recognition system using RGB-D sensor. In: 2015 International Conference on Informatics, Electronics & Vision (ICIEV), pp. 1–4. IEEE, June 2015

    Google Scholar 

  2. Hu, M.K.: Visual pattern recognition by moment invariants. IRE Trans. Inf. Theory 8(2), 179–187 (1962)

    Article  Google Scholar 

  3. Mohanaiah, P., Sathyanarayana, P., GuruKumar, L.: Image texture feature extraction using GLCM approach. Int. J. Sci. Res. Publ. 3(5), 1 (2013)

    Google Scholar 

  4. Smith, J.R., Chang, S.F.: Single color extraction and image query. In: 1995 Proceedings of International Conference on Image Processing, vol. 3, pp. 528–531. IEEE, October 1995

    Google Scholar 

  5. Nasrabadi, N.M.: Pattern recognition and machine learning. J. Electron. Imaging 16(4), 049901 (2007)

    Article  MathSciNet  Google Scholar 

  6. Chong, W., Blei, D., Li, F.F.: Simultaneous image classification and annotation. In: IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2009, pp. 1903–1910. IEEE, June 2009

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chuin-Mu Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jian, GZ., Wang, CM. (2019). The Bread Recognition System with Logistic Regression. In: Chang, CY., Lin, CC., Lin, HH. (eds) New Trends in Computer Technologies and Applications. ICS 2018. Communications in Computer and Information Science, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-13-9190-3_14

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-9190-3_14

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9189-7

  • Online ISBN: 978-981-13-9190-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics