JOURNAL ARTICLE

Devanagari Text Detection From Natural Scene Images

Sankirti ShiravaleR. JayadevanSanjeev S. Sannakki

Year: 2020 Journal:   International Journal of Computer Vision and Image Processing Vol: 10 (3)Pages: 44-59   Publisher: IGI Global

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.

Keywords:
Artificial intelligence Computer science Cluster analysis Computer vision Text detection Pattern recognition (psychology) Devanagari Image (mathematics) Task (project management) Enhanced Data Rates for GSM Evolution Edge detection Feature extraction Natural (archaeology) Image processing Character recognition Geography

Metrics

5
Cited By
0.42
FWCI (Field Weighted Citation Impact)
14
Refs
0.61
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Handwritten Text Recognition Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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