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Evaluation of Character Recognition Algorithm Based on Feature Extraction

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Communication, Networks and Computing (CNC 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 839))

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Abstract

At display circumstance there is creating enthusiasm for the item system to see characters in a PC structure when information is investigated paper records. This paper presents point by point review in the field of Optical Character Recognition. Diverse methods are settled that have been proposed to comprehend the point of convergence of character affirmation in an optical character affirmation structure. Decision and feature extraction in light of Optical Character Recognition (OCR). By using the OCR, we can change the information of picture into the information of substance which is definitely not hard to control. In our proposed method, Select the any particular number and crop the selected image and then extract the feature. The text from the OCR process will be compared with the selected number from the loaded image. The overall accuracy of the proposed method is 92%.

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Authors and Affiliations

  1. ITM Group of Institutions, Gwalior, MP, India

    Bishakha Sharma & Arun Agarwal

Authors
  1. Bishakha Sharma
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  2. Arun Agarwal
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Corresponding author

Correspondence to Bishakha Sharma .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology, Allahabad, India

    Shekhar Verma

  2. ITM University, Gwalior, India

    Ranjeet Singh Tomar

  3. ITM University, Gwalior, India

    Brijesh Kumar Chaurasia

  4. Indian Institute of Information Technology, Allahabad, India

    Vrijendra Singh

  5. School of Information Technology, Deakin University, Burwood, VIC, Australia

    Jemal Abawajy

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© 2019 Springer Nature Singapore Pte Ltd.

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Sharma, B., Agarwal, A. (2019). Evaluation of Character Recognition Algorithm Based on Feature Extraction. In: Verma, S., Tomar, R., Chaurasia, B., Singh, V., Abawajy, J. (eds) Communication, Networks and Computing. CNC 2018. Communications in Computer and Information Science, vol 839. Springer, Singapore. https://doi.org/10.1007/978-981-13-2372-0_7

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  • DOI: https://doi.org/10.1007/978-981-13-2372-0_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2371-3

  • Online ISBN: 978-981-13-2372-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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