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OCR Using Computer Vision and Machine Learning

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Book cover Machine Learning Algorithms for Industrial Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 907))

Abstract

Being a well-researched area, optical character recognition or OCR has seen many advancements. Many state-of-the-art algorithms have been developed that can be used for the purpose of OCR but extracting text from images containing tables while preserving the structure of the table still remains a challenging task. Here, we present an efficient and highly scalable parallel architecture to segment input images containing tabular data with and without borders into cells and reconstruct the tabular data while preserving the tabular format. The performance improvement thus made can be used to ease the tedious task of digitizing tabular data in bulk. The same architecture can be used for regular OCR applications to improve performance if the data is in huge quantities.

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Author information

Authors and Affiliations

  1. National Institute of Science and Technology, Berhampur, Berhampur, India

    Ashish Ranjan, Varun Nagesh Jolly Behera & Motahar Reza

Authors
  1. Ashish Ranjan
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  2. Varun Nagesh Jolly Behera
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  3. Motahar Reza
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Corresponding author

Correspondence to Ashish Ranjan .

Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Berhampur, Odisha, India

    Santosh Kumar Das

  2. School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Berhampur, Odisha, India

    Shom Prasad Das

  3. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

  4. Founder and Head of the Egyptian Scientific Research Group (SRGE), Information Technology Department, Cairo University, Faculty of Computer and Artificial Intelligence, Giza, Egypt

    Aboul-Ella Hassanien

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Ranjan, A., Behera, V.N.J., Reza, M. (2021). OCR Using Computer Vision and Machine Learning. In: Das, S., Das, S., Dey, N., Hassanien, AE. (eds) Machine Learning Algorithms for Industrial Applications. Studies in Computational Intelligence, vol 907. Springer, Cham. https://doi.org/10.1007/978-3-030-50641-4_6

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