Text localization in camera captured images using fuzzy distance transform based adaptive stroke filter

Shauvik Paul; Satadal Saha; Subhadip Basu; Punam Kumar Saha; Mita Nasipuri

doi:10.1007/s11042-019-7178-3

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Text localization in camera captured images using fuzzy distance transform based adaptive stroke filter

Journal article

Peer reviewed

Text localization in camera captured images using fuzzy distance transform based adaptive stroke filter

Shauvik Paul, Satadal Saha, Subhadip Basu, Punam Kumar Saha and Mita Nasipuri

Multimedia tools and applications, Vol.78(13), pp.18017-18036

01/17/2019

DOI: 10.1007/s11042-019-7178-3

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Abstract

Localization of text from camera captured images with complex background is now-a-days a growing demand of modern IT enable service. Most of the current text localization techniques are sensitive to text features like color, size, style and also to the background clutter. Among all the methods proposed in different literatures, Stroke Filter is much more effective in localization of text. The effectiveness of traditional stroke filter is limited because of its fixed width and is capable of segmenting strokes/texts of predefined range of width. The proposed method uses Fuzzy Distance Transform based adaptive stroke filter which can effectively localize text regions from camera captured images with complex background. The method is applied by experiment on a database containing 600 images and the visual response of text segmentation is quite impressive. To get the accuracy of the proposed method, it is applied on a set of 16 test images and the segmentation result is compared with the ground truth images resulting in a recall, precision and f-measure values of 96.65%, 87.77% and 91.89% respectively.

Computer Science

Article

Computer Communication Networks

Data Structures and Information Theory

Multimedia Information Systems

Special Purpose and Application-Based Systems

Details

Title: Subtitle: Text localization in camera captured images using fuzzy distance transform based adaptive stroke filter
Creators: Shauvik Paul - Techno India
Satadal Saha - MCKV Institute of Engineering
Subhadip Basu - Jadavpur University
Punam Kumar Saha - University of Iowa
Mita Nasipuri - Jadavpur University
Resource Type: Journal article
Publication Details: Multimedia tools and applications, Vol.78(13), pp.18017-18036
Publisher: Springer US
DOI: 10.1007/s11042-019-7178-3
ISSN: 1380-7501
eISSN: 1573-7721
Language: English
Date published: 01/17/2019
Academic Unit: Electrical and Computer Engineering; Radiology
Record Identifier: 9984197342702771

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