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Building Dataset and Deep Learning-Based Inception Model for the Character Classification of Tigalari Script

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Recent Advances in Artificial Intelligence and Data Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1386))

Abstract

Image classification and optical character recognition are important research areas in computer vision. With advancement in machine learning and deep learning techniques, these fields are attracting lot of researchers to develop models with near human perfection. Many character recognition models are available for modern languages. But, it is still a challenging task to analyze the handwritten text in Indian scripts. It is further complex for the scripts with large alpha syllabary and complex nature. This paper proposes a technique for the recognition and classification of ancient Tigalari characters from the handwritten text. Tigalari is widely used in coastal Karnataka and Kerala for documenting Sanskrit, Tulu, and Malayalam languages. Method involves the creation of database, design of deep convolution neural network (DCNN)-based architecture to classify the text, training the model with the data and recognizing text using test set. Being an inception model for this script, proposed method classifies 46 basic Tigalari characters with an impressing accuracy of 98.55%.

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Author information

Authors and Affiliations

  1. Shri Madhwa Vadiraja Institute of Technology and Management, Bantakal, Karnataka, 574115, India

    Sachin S. Bhat, Rajashree Nambiar & Nagaraj Bhat

  2. NMAM Institute of Technology, Nitte, Karkala, Karnataka, 574110, India

    Alaka Ananth

Authors
  1. Sachin S. Bhat
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  2. Alaka Ananth
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  3. Rajashree Nambiar
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  4. Nagaraj Bhat
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Editor information

Editors and Affiliations

  1. Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka (NITK), Mangalore, India

    Pushparaj Shetty D.

  2. Department of MCA, NMAM Institute of Technology, Karkala, India

    Surendra Shetty

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Bhat, S.S., Ananth, A., Nambiar, R., Bhat, N. (2022). Building Dataset and Deep Learning-Based Inception Model for the Character Classification of Tigalari Script. In: Shetty D., P., Shetty, S. (eds) Recent Advances in Artificial Intelligence and Data Engineering. Advances in Intelligent Systems and Computing, vol 1386. Springer, Singapore. https://doi.org/10.1007/978-981-16-3342-3_20

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