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Information and Communication Technology for Sustainable Development pp 153–165Cite as

Text Extraction from Images: A Review

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 10))

Abstract

Multimedia, natural scenes, images are sources of textual information. Textual information extracted from these sources can be used for automatic image and video indexing, and image structuring. But, due to variations in text style, size, alignment of text, as well as orientation of text and low contrast of the image and complex background make challenging the extraction of text. From the past recent years, many methods for extraction of text are proposed. This paper provides with analysis, comparison of performance of various methods used for extraction of text information from images. It summarizes various methods for text extraction and various factors affecting the performance of these methods.

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Authors and Affiliations

  1. Department of IT, UIET, PU, Chandigarh, India

    Nitin Sharma &  Nidhi

Authors
  1. Nitin Sharma
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  2. Nidhi
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Corresponding author

Correspondence to Nitin Sharma .

Editor information

Editors and Affiliations

  1. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  2. Dagenham, United Kingdom

    Malaya Kumar Nayak

  3. Department of Information Technology, Sabar Institute of Technology, Ahmedabad, Gujarat, India

    Amit Joshi

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Sharma, N., Nidhi (2018). Text Extraction from Images: A Review. In: Mishra, D., Nayak, M., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 10. Springer, Singapore. https://doi.org/10.1007/978-981-10-3920-1_16

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  • DOI: https://doi.org/10.1007/978-981-10-3920-1_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3919-5

  • Online ISBN: 978-981-10-3920-1

  • eBook Packages: EngineeringEngineering (R0)

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