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The Art of Character Recognition Using Artificial Intelligence

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Data Science and Intelligent Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 52))

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Abstract

This research paper investigates the uses of AI in the problem that occurred during defining the machine-printed characters. It uses backpropagation net which uses 84 attribute font styles and examined over two different printing font styles. These results which are retrieved from the test are compared with the results got on the identical data by a more used and suitable path.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, ITM Universe, Vadodara, Gujarat, India

    Thacker Shradha & Hitanshi P. Prajapati

  2. Cyber Security and Incident Response, Institute of Forensic Science, Gujarat Forensic Sciences University, Gandhinagar, Gujarat, India

    Yatharth B. Antani

Authors
  1. Thacker Shradha
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  2. Hitanshi P. Prajapati
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  3. Yatharth B. Antani
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Corresponding author

Correspondence to Thacker Shradha .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Symbiosis Institute of Technology, Pune, India

    Ketan Kotecha

  2. Department of Computer Science, Università degli Studi di Milano, Milan, Italy

    Vincenzo Piuri

  3. Gandhinagar Institute of Technology, Gandhinagar, Gujarat, India

    Hetalkumar N. Shah

  4. Department of Computer Engineering, Gandhinagar Institute of Technology, Gandhinagar, Gujarat, India

    Rajan Patel

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Shradha, T., Prajapati, H.P., Antani, Y.B. (2021). The Art of Character Recognition Using Artificial Intelligence. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_23

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