Extraction of Text from Images of Big Data

Authors

  • Swati Keshav Meshram  Department of Computer Engineering (Data Science), Zeal College of Engineering and Research, Narhe, Pune, Maharashtra, India
  • Prof. B. A. Chaugule   Department of Computer Engineering (Data Science), Zeal College of Engineering and Research, Narhe, Pune, Maharashtra, India

Keywords:

Big Data, Color based partition, Canny edge detector, Hough transform, Text line grouping.

Abstract

Collection of data sets very large and complex that becomes difficult to be processed using on-hand database management tools or traditional data processing applications is called Big Data. Text information in images of big data serves as important clues for many image-based applications. However, locating text from a complex background with multiple colors is a difficult task. The proposed framework in this paper consists of two steps: -1. Colour based partition method. 2. Text line grouping method. Trained classifiers will be used after first step. Canny edge detector is used in first step and text line grouping makes use of Hough transform.

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International Journal of Scientific Research in Science and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Swati Keshav Meshram, Prof. B. A. Chaugule "Extraction of Text from Images of Big Data" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 2, pp.535-540, March-April-2022.