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Devanagari Text Detection From Natural Scene Images

Devanagari Text Detection From Natural Scene Images

Sankirti Sandeep Shiravale, R. Jayadevan, Sanjeev S. Sannakki
Copyright: © 2020 |Volume: 10 |Issue: 3 |Pages: 16
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781799807377|DOI: 10.4018/IJCVIP.2020070104
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MLA

Shiravale, Sankirti Sandeep, et al. "Devanagari Text Detection From Natural Scene Images." IJCVIP vol.10, no.3 2020: pp.44-59. http://doi.org/10.4018/IJCVIP.2020070104

APA

Shiravale, S. S., Jayadevan, R., & Sannakki, S. S. (2020). Devanagari Text Detection From Natural Scene Images. International Journal of Computer Vision and Image Processing (IJCVIP), 10(3), 44-59. http://doi.org/10.4018/IJCVIP.2020070104

Chicago

Shiravale, Sankirti Sandeep, R. Jayadevan, and Sanjeev S. Sannakki. "Devanagari Text Detection From Natural Scene Images," International Journal of Computer Vision and Image Processing (IJCVIP) 10, no.3: 44-59. http://doi.org/10.4018/IJCVIP.2020070104

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Abstract

Text present in a camera captured scene images is semantically rich and can be used for image understanding. Automatic detection, extraction, and recognition of text are crucial in image understanding applications. Text detection from natural scene images is a tedious task due to complex background, uneven light conditions, multi-coloured and multi-sized font. Two techniques, namely ‘edge detection' and ‘colour-based clustering', are combined in this paper to detect text in scene images. Region properties are used for elimination of falsely generated annotations. A dataset of 1250 images is created and used for experimentation. Experimental results show that the combined approach performs better than the individual approaches.

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