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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5551
Title: Rotation and script independent text detection from video frames using sub pixel mapping
Authors: Mittal A.
Pratim Roy, Partha
Singh P.
Raman, Balasubramanian
Published in: Journal of Visual Communication and Image Representation
Abstract: Text detection and recognition in video frames is a challenging task due to low contrast and noise from background that hinder the processing. In this paper we have proposed a robust multi-oriented text detection approach in video frames. Proposed method uses sub pixel mapping based super resolution approach to enhance the image. Next, in this enhanced image, Histogram of Oriented Moment feature is extracted from connected components and Support Vector Machine (SVM) classifier is used for multi-oriented text/non-text identification. Finally, Recurrent Neural Network (RNN) based classifier is used for recognition of text characters. We have performed our experiment in ICDAR2013 Robust Reading Competition Karatzas et al. (2013). To evaluate the script independent text extraction performance, we tested our framework in IITR dataset Verma et al. (2016) that contains text of multiple scripts in scene images. We have obtained F-measure of 0.82 which surpasses the current state of art techniques in ICDAR2013 Karatzas et al. (2013) and 0.8 in IITR Dataset Verma et al. (2016) for text detection. © 2017 Elsevier Inc.
Citation: Journal of Visual Communication and Image Representation (2017), 46(): 187-198
URI: https://doi.org/10.1016/j.jvcir.2017.03.002
http://repository.iitr.ac.in/handle/123456789/5551
Issue Date: 2017
Publisher: Academic Press Inc.
Keywords: Low resolution videos
Multi-oriented text detection
Script independent text segmentation
Sub pixel mapping
ISSN: 10473203
Author Scopus IDs: 56763507700
56880478500
57212591690
23135470700
Author Affiliations: Mittal, A., Dept. of Civil Engineering, Indian Institute of Technology Roorkee, India
Roy, P.P., Dept. of Computer Science and Engineering, Indian Institute of Technology Roorkee, India
Singh, P., Dept. of Computer Science and Engineering, Indian Institute of Technology Roorkee, India
Raman, B., Dept. of Computer Science and Engineering, Indian Institute of Technology Roorkee, India
Corresponding Author: Roy, P.P.; Dept. of Computer Science and Engineering, Indian Institute of Technology RoorkeeIndia; email: 2partharoy@gmail.com
Appears in Collections:Journal Publications [CS]

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