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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/21637
Title: Zone-based keyword spotting in Bangla and Devanagari documents
Authors: Bhunia A.K.
Pratim Roy, Partha
Sain A.
Pal U.
Published in: Multimedia Tools and Applications
Abstract: In this paper, we present a word spotting system in text lines for offline Indic scripts such as Bangla (Bengali) and Devanagari. Recently, it was shown that the zone-wise recognition method improves word recognition performance than the conventional full word recognition system in Indic scripts, like Bangla, Devanagari, Gurumukhi (Roy et al. in Pattern Recogn 60: 1057-1075, 26; Bhunia et al. in Pattern Recogn 79: 12–31, 6). Inspired from this idea we consider the zone segmentation approach and use middle zone information to improve the traditional word spotting performance. To avoid the problem of zone segmentation using heuristic approach, we propose here a new HMM based approach to segment the upper and lower zone components from the text line images. The candidate keywords are searched from a line without segmenting characters or words. Also, we propose a feature combining foreground and background information of text line images for keyword-spotting by character filler models. A significant improvement in performance is noted by using both foreground and background information instead of the individual one. Pyramid Histogram of Oriented Gradient (PHOG) feature has been used in our word spotting framework. From the experiment, it has been noted that the proposed zone-segmentation based system outperforms traditional approaches of word spotting. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.
Citation: Multimedia Tools and Applications, 79(37-38): 27365-27389
URI: https://doi.org/10.1007/s11042-019-08442-y
http://repository.iitr.ac.in/handle/123456789/21637
Issue Date: 2020
Publisher: Springer
Keywords: Handwritten text recognition
Hidden Markov model
Knowledge extraction
Word spotting
ISSN: 13807501
Author Scopus IDs: 57188719920
56880478500
57195999376
57200742116
Author Affiliations: Bhunia, A.K., Department of ECE, Institute of Engineering & Management, Kolkata, India
Roy, P.P., Department of CSE, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
Sain, A., Department of EE, Institute of Engineering & Management, Kolkata, India
Pal, U., CVPR Unit, Indian Statistical Institute, Kolkata, India
Corresponding Author: Bhunia, A.K.; Department of ECE, India; email: ayanbhunia007@gmail.com
Appears in Collections:Journal Publications [CS]

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