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Handwritten Devanagari Character Generation Using Deep Convolutional Generative Adversarial Network

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1053))

Abstract

As deep learning became popular, the need for huge amounts of data has risen. The major problem faced in deep learning is the data scarcity. Many researchers have done research in areas such as image processing, pattern recognition, artificial intelligence, and cognitive science to solve handwritten character recognition problem but the data availability remains the problem particularly in Indian languages. The main motive of this paper is to generate the handwritten character of Devanagari, for which DCGANs are used which help us to generate training data images from the vector representation. Here, we use three-layer CNN having a stride value of two for feature extraction of the handwritten character. The characters generated look like the character in the original dataset.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Thapar Institute of Engineering and Technology, Bhadson Road, Patiala, Punjab, 147004, India

    Simerpreet Kaur & Karun Verma

Authors
  1. Simerpreet Kaur
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  2. Karun Verma
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Corresponding author

Correspondence to Simerpreet Kaur .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Tarun K. Sharma

  3. Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Om Prakash Verma

  4. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Rajesh Singla

  5. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Afzal Sikander

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Kaur, S., Verma, K. (2020). Handwritten Devanagari Character Generation Using Deep Convolutional Generative Adversarial Network. In: Pant, M., Sharma, T., Verma, O., Singla, R., Sikander, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-15-0751-9_114

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