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Text Line Segmentation with the Algorithm Based on the Oriented Anisotropic Gaussian Kernel Cover

Text Line Segmentation with the Algorithm Based on the Oriented Anisotropic Gaussian Kernel

Journal of Electrical Engineering
Volume 64 (2013): Issue 4 (June 2013)
By: Darko Brodić and  Zoran N. Milivojević  
Open Access
|Aug 2013

References

  1. [1] LIKFORMAN SULEM, L.-ZAHOUR, A.-TACONET, B. : Text Line Segmentation of Historical Documents: a Survey, International Journal on Document Analysis and Recognition 9 No. 2 (2007), 123-138.10.1007/s10032-006-0023-z
    Search in Google Scholar
  2. [2] RAZAK, Z.-ZULKIFLEE, K.et al : Off-Line Handwriting Text-Line Segmentation: a Review, International Journal of Computer Science and Network Security 8 No. 7 (2008), 12-20.
    Search in Google Scholar
  3. [3] LI, Y.-ZHENG, Y.-DOERMANN, D.-JAEGER, S. : A New Algorithm for Detecting Text Line in Handwritten Documents, In: 10th International Workshop on Frontiers in Handwriting Recognition 2006 IWFHR 2006, La Baule, France, pp. 35-40.
    Search in Google Scholar
  4. [4] LI, Y.-ZHENG, Y.-DOERMANN, D.-JAEGER, S. : Script- Independent Text Line Segmentation in Freestyle Handwritten Documents, IEEE Transactions on Pattern Analysis and Machine Intelligence 30 No. 8 (2008), 1313-1329.10.1109/TPAMI.2007.70792
    Search in Google Scholar
  5. [5] BUKHARI, S. S.-SHAFAIT, F.-BREUEL, T. M. : Script- Independent Handwritten Text-lines Segmentation using Active Contours, In: 10th International Conference on Document Analysis and Recognition 2009. ICDAR 2009, Barcelona, Spain, pp. 446-450.10.1109/ICDAR.2009.206
    Search in Google Scholar
  6. [6] LI, Y.-ZHENG, Y.-DOERMANN, D.-JAEGER, S. : Script- Independent Text Line Segmentation in Freestyle Handwritten Documents, Technical report TR: LAMP-136/CS-4836/ UMIACS-2006-51/CFAR-1017, University of Maryland, College Park, 2006.10.21236/ADA460371
    Search in Google Scholar
  7. [7] BRODIĆ, D.-MILIVOJEVIĆ, Z. : Optimization of the Gaussian Kernel Extended by Binary Morphology for Text Line Segmentation, Radioengineering 19 No. 4 (2010), 718-724.
    Search in Google Scholar
  8. [8] SAUVOLA, L.-PIETIKAINEN, M. : Adaptive Document Image Binarization, Pattern Recognition 33 No. 2 (2000), 225-236.10.1016/S0031-3203(99)00055-2
    Search in Google Scholar
  9. [9] KHASHMAN, A.-SEKEROGLU, B. : Document Image Binarisation Using a Supervised Neural Network, The International Journal of Neural Systems 18 No. 5 (2008), 405-418.10.1142/S012906570800167118991363
    Search in Google Scholar
  10. [10] GONZALEZ, R. C.-WOODS, R. E. : Digital Image Processing, 2nd ed., Prentice-Hall, USA, 2002.
    Search in Google Scholar
  11. [11] PREPARATA, F. P.-SHAMOS, M. I. : Computational Geometry: An Introduction, Springer-Verlag, Germany, 1985.10.1007/978-1-4612-1098-6
    Search in Google Scholar
  12. [12] RAMTEKE, R. J.-IMRAN, K. P.-MEHROTRA, S. C. : Skew Angle Estimation of Urdu Document Images: A Moments Based Approach, International Journal of Machine Learning and Computing 1 No. 1 (2011), 7-12.10.7763/IJMLC.2011.V1.2
    Search in Google Scholar
  13. [13] JÄHNE, B. : Digital Image Processing, 6th ed., Springer-Verlag, Germany, 2005.
    Search in Google Scholar
  14. [14] TERELL, G. R. : Mathematical Statistics: A Unified Introduction, Springer-Verlag, USA, 1999.
    Search in Google Scholar
  15. [15] BRODIĆ, D.-MILIVOJEVIĆ, D. R.-MILIVOJEVIĆ, Z. : An Approach to a Comprehensive Test Framework for Analysis and Evaluation of Text Line Segmentation Algorithms, Sensors 11 No. 9 (2011), 8782-8812.10.3390/s110908782323147422164106
    Search in Google Scholar
  16. [16] SANCHEZ, A.-SUAREZ, P. D.-MELLO, C. A. B.-OLIVEIRA, A. L. I.-ALVES, V. M. O. : Text Line Segmentation in Images of Handwritten Historical Documents, In: First International Workshops on Image Processing. Theory, Tools and Applications 2008, IPTA 2008, Sousse, Tunisia, pp. 1-6.10.1109/IPTA.2008.4743758
    Search in Google Scholar
  17. [17] BRODIĆ, D.-MILIVOJEVIĆ, D. R.-MILIVOJEVIĆ, Z. : Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction, Sensors 10 No. 5 (2010), 5263-5279.10.3390/s100505263329217222399932
    Search in Google Scholar
  18. [18] POPOV, V. S. : Principles of Symmetry and Relative Errors of Instrumentation and Transducers, Automation and Remote Control 62 No. 5 (2001), 842-846.10.1023/A:1010239310811
    Search in Google Scholar
  19. [19] BRODIĆ, D. : The Evaluation of the Initial Skew Rate for Printed Text, J. Electrical Engineering 62 No. 3 (2011), 142-148.
    Search in Google Scholar
DOI: https://doi.org/10.2478/jee-2013-0034 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 238 - 243
Published on: Aug 24, 2013
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
moments,
connected components,
text skew,
text line segmentation,
anisotropic Gaussian kernel
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2013 Darko Brodić, Zoran N. Milivojević, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.

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