Localization and Detection of Multi-lingual Text in Scenery Using an Ensemble of Gabor, FIR and Gaussian Filters

Authors(1) :-Suryadipto Sarkar

Texts have become an integral part of urban as well as rustic landscapes. Starting from directions, street names, milestones, public notices and traffic signboards to hoardings and advertisements—we can find text everywhere. Text detection in natural scenery, more popularly known as “Scene Text Detection”, has been an extensive field of study in the domain of Image Processing. Yet, owing to the varying alignment, quality, clarity, distance and other parameters of non-uniformity that are present in such types of text, researchers have not been able to completely saturate this aspect of Image Analysis. As more work is being done, we get a better understanding in this regard. But, it is still far from complete resolved. In this paper, the author has proposed a technique for scene text detection using time-frequency analysis.

Authors and Affiliations

Suryadipto Sarkar
Electronics and Communication Engineering, Manipal Institute of Technology, Manipal, Karnataka, India

Short-Time Fourier Transform, Gabor transform, Finite Impulse Response(FIR) filter, Gaussian filter, MSRA-TD500 database.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1082-1088
Manuscript Number : CSEIT1835140
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Suryadipto Sarkar, "Localization and Detection of Multi-lingual Text in Scenery Using an Ensemble of Gabor, FIR and Gaussian Filters", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.1082-1088, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1835140

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