Skip to main content
SpringerLink
Log in

A Novel Arbitrary-Oriented Multilingual Text Detection in Images/Video

  • Conference paper
  • First Online:
Information and Decision Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 701))

Abstract

Text in images and videos plays a vital role to understand the events. The textual information is a prominent source and semantic information of a particular content of the respective image or video. Text detection is a primary stage for text recognition and text understanding. Still, text detection process is a challenging and interesting research work in the field of computer vision due to illumination, alignments, complex background and variation size, color, fonts of the text. The multilingual text consists of different geometrical structures of languages. In this paper, a simple and yet effective approach is presented to detect the text from arbitrary oriented multilingual images/video. The proposed method is based on Laplacian of Gaussian information and full connected component analysis. The proposed method is evaluated on four datasets such as Hua’s dataset, arbitrarily oriented dataset, Multi-script Robust Reading Competition (MRRC) dataset and MSRA dataset with performance measures precision, recall and f-measure. The results show that the proposed method is promising and encouraging.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Khare, V., Shivakumara, P., Raveendran, P.: Multi-oriented moving text detection. International Symposium on Intelligent Signal Processing and Communication Systems, pp. 347–352 (2014)

    Google Scholar 

  2. Minemura, K., Palaiahnakote, S., Wong, K.: Multi-oriented text detection for intra-frame in H. 264/AVC video. International Symposium on Intelligent Signal Processing and Communication Systems, pp. 330–335 (2014)

    Google Scholar 

  3. He, T., Huang, W., Qiao, Y., Yao, J.: Text-attentional convolutional neural network for scene text detection. IEEE Trans. Image Process. 25(6), 2529–2541 (2016)

    Article  MathSciNet  Google Scholar 

  4. Wu, H., Zou, B., Zhao, Y.Q., Guo, J.: Scene text detection using adaptive color reduction, adjacent character model and hybrid verification strategy. Vis. Comput. 33(1), 113–126 (2017)

    Article  Google Scholar 

  5. Zhou, X., Yao, C., Wen, H., Wang, Y., Zhou, S., He, W., Liang, J.: EAST: an efficient and accurate scene text detector (2017). arXiv:1704.03155

  6. Ma, J., Shao, W., Ye, H., Wang, L., Wang, H., Zheng, Y., Xue, X.: Arbitrary-oriented scene text detection via rotation proposals (2017). arXiv:1703.01086

  7. Pavithra, M.S., Aradhya, V.N.M.: A comprehensive of transforms, Gabor filter and k-means clustering for text detection in images and video. Appl. Comput. Inform., 1–15 (2014)

    Google Scholar 

  8. Jeong, M., Jo, K.H.: Multi language text detection using fast stroke width transform. 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, pp. 1–4 (2015)

    Google Scholar 

  9. Ren, X., Zhou, Y., Huang, Z., Sun, J., Yang, X., Chen, K.: A novel text structure feature extractor for chinese scene text detection and recognition. IEEE Access 5, 3193–3204 (2017)

    Article  Google Scholar 

  10. Liao, W.H., Wu, Y.C.: An integrated approach for multilingual scene text detection. Int. J. Comput. Inf. Syst. Ind. Manag. Appl. 8, 033–041 (2016)

    Google Scholar 

  11. Hua, X.S., Wenyin, L., Zhang, H.J.: An automatic performance evaluation protocol for video text detection algorithms. IEEE Trans. CSVT, 498–507 (2004)

    Google Scholar 

  12. Lu, C., Wang, C., Dai, R.: Text detection in images based on unsupervised classification of edge-based features. In: Proceedings of ICDAR, pp. 610–614 (2005)

    Google Scholar 

  13. Multi-script robust reading competition. http://mile.ee.iisc.ernet.in/mrrc/index.html

  14. Yao, C., Bai, X., Liu, W., Ma, Y., Tu, Z.: Detecting texts of arbitrary orientations in natural images. In: Proceedings of CVPR, pp. 1083–1090 (2012)

    Google Scholar 

  15. Shivakumara, P., Basavaraju, H.T., Guru, D.S., Tan, C.L.: Detection of curved text in video: quad tree based method. In: 12th International Conference on Document Analysis and Recognition (ICDAR), pp. 594–598 (2013)

    Google Scholar 

  16. Sharma, N., Shivakumara, P., Pal, U., Blumenstein, M., Tan, C.L.: A new method for arbitrarily-oriented text detection in video. In: Proceedings of DAS, pp. 74–78 (2012)

    Google Scholar 

  17. Shivakumara, P., Sreedhar, R.P., Phan, T.Q., Lu, S., Tan, C.L.: Multi-oriented video scene text detection through Bayesian classification and boundary growing. IEEE Trans. CSVT, 1227–235 (2012)

    Article  Google Scholar 

  18. Shivakumara, P., Phan, T. Q., Tan, C.L.: A laplacian approach to multi-oriented text detection in video. IEEE Trans. PAMI, 412–419 (2011)

    Google Scholar 

  19. Zhou, J., Xu, L., Xiao, B., Dai, R.: A robust system for text extraction in video. In: Proceedings of ICMV, pp. 119–124 (2007)

    Google Scholar 

  20. Shivakumara, P., Phan, T.Q., Tan, C.L.: New Fourier-statistical features in RGB space for video text detection. IEEE Trans. CSVT, 1520–1532 (2010)

    Google Scholar 

  21. Lu, C., Wang, C., Dai, R.: Text detection in images based on unsupervised classification of edge-based features. In: Proceedings of ICDAR, pp. 610–614 (2005)

    Google Scholar 

  22. Wong, E.K., Chen, M.: A new robust algorithm for video text extraction. Pattern Recognit., 1397–1406 (2003)

    Google Scholar 

  23. Cai, M., Song J., Lyu, M.R.: A new approach for video text detection. In: Proceedings of ICIP, pp. 117–120 (2002)

    Google Scholar 

  24. Dey, S., Shivakumara, P., Raghunandan, K.S., Pal, U., Lu, T., Kumar, G.H., Chan, C.S.: Script independent approach for multi-oriented text detection in scene image. Neurocomputing 242, 96–112 (2017)

    Article  Google Scholar 

  25. Shivakumara, P., Phan, T.Q., Tan, C.L.: New wavelet and color features for text detection in video. In: Proceedings of ICPR, pp. 3996–3999 (2010)

    Google Scholar 

  26. Epshtein, B., Ofek, E., Wexler, Y.: Detecting text in natural scenes with stroke width transform. In: Computer Vision and Pattern Recognition (CVPR), pp. 2963–2970 (2010)

    Google Scholar 

  27. Rong, L., Suyu, W., Shi, Z.: A two level algorithm for text detection in natural scene images. In: 11th IAPR International Workshop on Document Analysis Systems (DAS), pp. 329–333 (2014)

    Google Scholar 

  28. Mosleh, A., Bouguila, N., Hamza, A.B.: Automatic inpainting scheme for video text detection and removal. IEEE Trans. Image Process. 32(4), 460–472 (2013)

    Google Scholar 

  29. Li, Y., Jia, W., Shen, C., Hengel, A.V.D.: Characterness: an indicator of text in the wild. IEEE Trans. Image Process. 23, 1666–1677 (2014)

    Google Scholar 

  30. Zhao, X., Lin, K.H., Fu, Y., Hu, Y., Liu, Y., Huang, T.S.: Text from corners: a novel approach to detect text and caption in videos. IEEE Trans. Image Proces. 20, 790–799 (2011)

    Google Scholar 

  31. Yin, X.C., Yin, X., Huang, K., Hao, H.W.: Robust text detection in natural scene images. IEEE Trans. PAMI 36, 970–983 (2014)

    Google Scholar 

  32. Risnumawan, A., Shivakumara, P., Chan, C.S., Tan, C.L.: A robust arbitrary text detection system for natural scene images. ESWA 41, 8027–8048 (2014)

    Article  Google Scholar 

  33. Kang, L., Li, Y., Doermann, D.: Orientation robust text line detection in natural images. In: Proceedings of CVPR, pp. 4034–4041 (2014)

    Google Scholar 

  34. Yao, C., Bai, X., Liu, W.: A unified framework for multioriented text detection and recognition. IEEE Trans. Image Process. 23, 4737–4749 (2014)

    Article  MathSciNet  Google Scholar 

  35. Yin, X.C., Pei, W.Y., Zuang, J., Hao, H.W.: Multi-orientation scene text detection with adaptive clustering. IEEE Trans. PAMI 37, 1930–1937 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Master of Computer Applications, Sri Jayachamarajendra College of Engineering, Mysore, Karnataka, India

    H. T. Basavaraju & V. N. Manjunath Aradhya

  2. Department of Studies in Computer Science, University of Mysore, Mysore, Karnataka, India

    D. S. Guru

Authors
  1. H. T. Basavaraju
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. N. Manjunath Aradhya
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. D. S. Guru
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to H. T. Basavaraju .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Departamento de Engenharia Mecânica, Universidade do Porto, Porto, Portugal

    Joao Manuel R.S. Tavares

  3. Department of Electronics and Communication Engineering, SRMGPC, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  4. School of Computer Application, KIIT University, Bhubaneswar, Odisha, India

    J. R. Mohanty

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Basavaraju, H.T., Manjunath Aradhya, V.N., Guru, D.S. (2018). A Novel Arbitrary-Oriented Multilingual Text Detection in Images/Video. In: Satapathy, S., Tavares, J., Bhateja, V., Mohanty, J. (eds) Information and Decision Sciences. Advances in Intelligent Systems and Computing, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-10-7563-6_54

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-7563-6_54

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7562-9

  • Online ISBN: 978-981-10-7563-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation