Skip to main content
Top

2021 | OriginalPaper | Chapter

Cultural Symbol Recognition Algorithm Based on CTPN + CRNN

Author : Yanru Wang

Published in: Human Centered Computing

Publisher: Springer International Publishing

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

search-config
loading …

Abstract

This paper proposes a cultural symbol recognition algorithm based on CTPN + CRNN. The algorithm uses the improved VGG16 + BLSTM network to extract the depth features and sequence features of the text image, and uses the Anchor to locate the text position. Finally, the task of cultural symbol recognition is carried out through the CNN + BLSTM + CTC deep network, The algorithm is an ideal cultural symbol recognition scheme in terms of the recognition efficiency and accuracy.

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!

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!

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!

Literature
1.
go back to reference Ma, J., Shao, W., Ye, H., et al.: Arbitrary-Oriented Scene Text Detection via Rotation Proposals (2017) Ma, J., Shao, W., Ye, H., et al.: Arbitrary-Oriented Scene Text Detection via Rotation Proposals (2017)
2.
go back to reference Liao, M., Shi, B., Bai, X., et al.: TextBoxes: A Fast Text Detector with a Single Deep Neural Network. The Association for the Advancement of Artificial Intelligence, San Francisco, California, USA, pp. 4161–4167 (2017) Liao, M., Shi, B., Bai, X., et al.: TextBoxes: A Fast Text Detector with a Single Deep Neural Network. The Association for the Advancement of Artificial Intelligence, San Francisco, California, USA, pp. 4161–4167 (2017)
3.
go back to reference He, W., Zhang, X.Y., Yin, F., et al.: Deep Direct Regression for Multi-oriented Scene Text Detection. In: IEEE International Conference on Computer Vision, Venice, Italy, pp. 745–753 (2017) He, W., Zhang, X.Y., Yin, F., et al.: Deep Direct Regression for Multi-oriented Scene Text Detection. In: IEEE International Conference on Computer Vision, Venice, Italy, pp. 745–753 (2017)
4.
go back to reference He, T., Huang, W., Qiao, Y., et al.: Text-attentional convolutional neural network for scene text detection. IEEE Trans. Image Process. 25(6), 2529–3254 (2016)MathSciNetCrossRef He, T., Huang, W., Qiao, Y., et al.: Text-attentional convolutional neural network for scene text detection. IEEE Trans. Image Process. 25(6), 2529–3254 (2016)MathSciNetCrossRef
5.
go back to reference Wojna, Z., Gorban, A., Lee, D.S., et al.: Attention-based extraction of structured information from street view imagery. In: International Conference on Document Analysis and Recognition, Kyoto, Japan, pp. 844–850 (2017) Wojna, Z., Gorban, A., Lee, D.S., et al.: Attention-based extraction of structured information from street view imagery. In: International Conference on Document Analysis and Recognition, Kyoto, Japan, pp. 844–850 (2017)
6.
go back to reference Zheng, L., Yang, Y., Tian, Q.: SIFT meets CNN: a decade survey of instance retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 40(5), 1224–1244 (2018)CrossRef Zheng, L., Yang, Y., Tian, Q.: SIFT meets CNN: a decade survey of instance retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 40(5), 1224–1244 (2018)CrossRef
7.
go back to reference Uijlings, J., van de Sande, K., Gevers, T., et al.: Selective search for object recognition. Int. J. Comput. Vis. 104(2), 154–171 (2013)CrossRef Uijlings, J., van de Sande, K., Gevers, T., et al.: Selective search for object recognition. Int. J. Comput. Vis. 104(2), 154–171 (2013)CrossRef
Metadata
Title
Cultural Symbol Recognition Algorithm Based on CTPN + CRNN
Author
Yanru Wang
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-70626-5_21

Premium Partner