Approach to the Improvement of the Text Line Segmentation by Oriented Anisotropic Gaussian Kernel

Authors

  • D. Brodic University of Belgrade
  • Z. Milivojevic Technical College Nis
  • D. R. Milivojevic Mining and Metallurgy Institute

DOI:

https://doi.org/10.5755/j01.eee.118.2.1181

Abstract

The paper presents the approach to the algorithm for text line segmentation based on the anisotropic Gaussian kernel. As a result of this algorithm the growing region around text is exploited. Furthermore, anisotropic Gaussian kernel is rotated to improve text line segmentation process. Text objects orientation is evaluated by binary moments. For test purposes algorithm is evaluated under different text samples. From the obtained results comparative analysis between algorithm with anisotropic and oriented Gaussian kernel is made. At the end, benefits of the extended approach are revealed. Ill. 7, bibl. 22, tabl. 5 (in English; abstracts in English and Lithuanian).

DOI: http://dx.doi.org/10.5755/j01.eee.118.2.1181

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Published

2012-02-07

How to Cite

Brodic, D., Milivojevic, Z., & Milivojevic, D. R. (2012). Approach to the Improvement of the Text Line Segmentation by Oriented Anisotropic Gaussian Kernel. Elektronika Ir Elektrotechnika, 118(2), 89-94. https://doi.org/10.5755/j01.eee.118.2.1181

Issue

Vol. 118 No. 2 (2012)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

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