An enhanced MSER pruning algorithm for detection and localization of Bangla texts from scene images
Joint Authors
Islam, Rashedul
Islam, Rafiqul
Talukder, Kamrul
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 3 (31 May. 2020), pp.375-385, 11 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-05-31
Country of Publication
Jordan
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Text detection and localization have great importance for content based image analysis and text based image indexing.
The efficiency of text recognition depends on the efficiency of text localization.
So, the main goal of the proposed method is to detect and localize text regions with high accuracy.
To achieve this goal, a new and efficient method has been introduced for localization of Bangla text from scene images.
In order to improve precision and recall as well as f-measure, Maximally Stable Extremal Region (MSER) based method along with double filtering techniques have been used.
As MSER algorithm generates many false positives, we have introduced double filtering method for removing these false positives to increase the f-measure to a great extent.
Our proposed method works at three basic levels.
Firstly, MSER regions are generated from the input color image by converting it into gray scale image.
Secondly, some heuristic features are used to filter out most of the false positives or non-text regions.
Lastly, Stroke Width Transform (SWT) based filtering method is used to filter out remaining non-text regions.
Remaining components are then grouped into candidate text regions marked by bounding box over each region.
As there is no benchmark database for Bangla text, the proposed method is implemented on our own prepared database consisting of 200 scene images of Bangla texts and has got prominent performance.
To evaluate the performance of our proposed approach, we have also tested the proposed method on International Conference on Document Analysis and Recognition( ICDAR) 2013 benchmark database and have got a better result than the related existing methods.
American Psychological Association (APA)
Islam, Rashedul& Islam, Rafiqul& Talukder, Kamrul. 2020. An enhanced MSER pruning algorithm for detection and localization of Bangla texts from scene images. The International Arab Journal of Information Technology،Vol. 17, no. 3, pp.375-385.
https://search.emarefa.net/detail/BIM-962350
Modern Language Association (MLA)
Islam, Rashedul…[et al.]. An enhanced MSER pruning algorithm for detection and localization of Bangla texts from scene images. The International Arab Journal of Information Technology Vol. 17, no. 3 (May. 2020), pp.375-385.
https://search.emarefa.net/detail/BIM-962350
American Medical Association (AMA)
Islam, Rashedul& Islam, Rafiqul& Talukder, Kamrul. An enhanced MSER pruning algorithm for detection and localization of Bangla texts from scene images. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 3, pp.375-385.
https://search.emarefa.net/detail/BIM-962350
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 383-385
Record ID
BIM-962350