Skip to main content
SpringerLink
Log in
Book cover

International Conference in Communications, Signal Processing, and Systems

CSPS 2017: Communications, Signal Processing, and Systems pp 2150–2157Cite as

Feature Pooling in Scene Character Recognition: A Comprehensive Study

  • Conference paper
  • First Online:

  • 76 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

In this paper, we focus on the feature pooling methods for scene character recognition. We research three kinds of pooling methods: the average (sum) pooling, max pooling and weighted-based pooling methods. Specifically, various feature pooling methods are introduced, their merits and demerits are studied, and existing problems are discussed. Finally, we offer a specific comparison on the ICDAR2003 and Chars74k databases.

This is a preview of subscription content, 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   259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   329.99
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

Learn about institutional subscriptions

References

  1. Pavlovic, V.I., Sharma, R., Huang, T.S.: Visual interpretation of hand gestures for human-computer interaction: a review. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 677–695 (1997)

    Google Scholar 

  2. DeSouza, G.N., Kak, A.C.: Vision for mobile robot navigation: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 24(2), 237–267 (2002)

    Google Scholar 

  3. Vailaya, A., Figueiredo, M.A.T., Jain, A.K., Zhang, H.J.: Image classification for content-based indexing. IEEE Trans. Image Process. 10(1), 117–130 (2001)

    Google Scholar 

  4. Chen, X., Yuille, A.L.: Detecting and reading text in natural scenes. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 366–373 (2004)

    Google Scholar 

  5. Neumann, L., Matas, J.: Real-time scene text localization and recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3538–3545 (2012)

    Google Scholar 

  6. Gemert, J., Geusebroek, J., Veenman, C., Smeulders, A.: Kernel codebooks for scene categorization. In: European Conference on Computer Vision (ECCV), pp. 696–709 (2008)

    Google Scholar 

  7. Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., Gong, Y.: Locality-constrained linear coding for image classification. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3360–3367 (2010)

    Google Scholar 

  8. Vincent, P., Larochelle, H., Bengio, Y., Manzagol, P.A.: Extracting and composing robust features with denoising autoencoders. In: International Conference on Machine Learning, pp. 1096–1103 (2008)

    Google Scholar 

  9. Norouzi, M., Ranjbar, M., Mori, G.: Stacks of convolutional restricted boltzmann machines for shift-invariant feature learning. In: International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2735–2742 (2009)

    Google Scholar 

  10. Zhang, Z., Wang, C., Xiao, B., Zhou, W., Liu, S.: Cross-view action recognition using contextual maximum margin clustering. IEEE Trans. Circuits Syst. Video Technol. 24(10), 1663–1668 (2014)

    Google Scholar 

  11. Yang, J., Yu, K., Gong, Y., Huang, T.: Linear spatial pyramid matching using sparse coding for image classification. In: International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1794–1801 (2009)

    Google Scholar 

  12. Zhang, Z., Wang, C., Xiao, B., Zhou, W., Liu, S.: Action recognition using context-constrained linear coding. IEEE Signal Process. Lett. 19(7), 439–442 (2012)

    Google Scholar 

  13. Lucas, S.M., Panaretos, A., Sosa, L., Tang, A., Wong, S., Young, R.: ICDAR 2003 robust reading competitions. In: International Conforence on Document Analysis and Recognition, pp. 682–687 (2003)

    Google Scholar 

  14. de Campos, T.E., Babu, B.R., Varma, M.: Character recognition in natural images. In: International Conference on Computer Vision and Applications, pp. 273–280 (2009)

    Google Scholar 

  15. Zubair, S., Yan, F., Wang, W.: Dictionary learning based sparse coefficients for audio classification with max and average pooling. Digit. Signal Proc. 23(3), 960–970 (2013)

    Google Scholar 

  16. Murray, N., Perronnin, F.: Generalized max pooling. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2473–2480 (2014)

    Google Scholar 

  17. Hu, Y., Li, M., Yu, N.: Multiple-instance ranking: learning to rank images for image retrieval. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1–8 (2008)

    Google Scholar 

  18. Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2169–2178 (2006)

    Google Scholar 

  19. Perronnin, F., Dance, C.: Fisher kernels on visual vocabularies for image categorization. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1–8 (2007)

    Google Scholar 

  20. Gao, S., Wang, C., Xiao, B., Shi, C., Zhang, Z.: Stroke bank: a high-level representation for scene character recognition. In: International Conference on Pattern Recognition (ICPR), pp. 2909–2913 (2014)

    Google Scholar 

  21. Xiong, W., Zhang, L., Du, B., Tao, D.: Combining local and global: rich and robust feature pooling for visual recognition. Pattern Recogn. 62, 225–235 (2017)

    Google Scholar 

  22. Lee, C., Bhardwaj, A., Di, W., Jagadeesh, V., Piramuthu, R.: Region-based discriminative feature pooling for scene text recognition. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4050–4057 (2014)

    Google Scholar 

  23. Shi, C., Gao, S., Liu, M., Qi, C., Wang, C., Xiao, B.: Stroke detector and structure based models for character recognition: a comparative study. IEEE Trans. Image Process. 24(12), 4952–4964 (2015)

    Google Scholar 

  24. Yi, C., Yang, X., Tian, Y.: Feature representations for scene text character recognition: a comparative study. In: International Conference on Document Analysis and Recognition, pp. 907–911 (2013)

    Google Scholar 

  25. Tian, S., Bhattacharya, U., Lu, S., Su, B.: Multilingual scene character recognition with co-occurrence of histogram of oriented gradients. Pattern Recogn. 51, 126–134 (2016)

    Google Scholar 

  26. Su, B., Lu, S., Tian, S., Lim, J.H., Tan, C.L.: Character recognition in natural scene using convolutional co-occurrence HOG. In: International Conference on Pattern Recognition (ICPR), pp. 2926–2931 (2014)

    Google Scholar 

  27. Gao, S., Wang, C., Xiao, B., Shi, C., Zhou, W., Zhang, Z.: Learning co-occurrence strokes for scene character recognition based on spatiality embedded dictionary. In: IEEE International Conference on Image Processing (ICIP), pp. 5956–5960 (2014)

    Google Scholar 

Download references

Acknowledgements

This work is supported by National Natural Science Foundation of China under Grant No. 61501327, No. 61711530240 and No. 61401309, Natural Science Foundation of Tianjin under Grant No. 17JCZDJC30600, and No. 15JCQNJC01700, the Open Projects Program of National Laboratory of Pattern Recognition under Grant No. 201700001, and Doctoral Fund of Tianjin Normal University under Grant No. 5RL134 and No. 52XB1405.

Author information

Authors and Affiliations

  1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China

    Zhong Zhang, Hong Wang & Shuang Liu

  2. College of Computer Science, Inner Mongolia University, Inner Mongolia, China

    Yunxue Shao

Authors
  1. Zhong Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hong Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shuang Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yunxue Shao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhong Zhang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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

Zhang, Z., Wang, H., Liu, S., Shao, Y. (2019). Feature Pooling in Scene Character Recognition: A Comprehensive Study. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_262

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-6571-2_262

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation