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DFA-Based Online Bangla Character Recognition

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Information Technology and Applied Mathematics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 699))

Abstract

In the present experiment, we have investigated the effectiveness of two handcrafted feature extraction techniques for the recognition of constituent strokes of online handwritten Bangla character samples. These techniques estimate local and global shape information from a stroke sample. Combined feature vector is fed to Multi-Layer Perceptron (MLP)-based classifier for stroke recognition purpose. We have achieved 91.27% recognition accuracy over test set. In the current experiment, total size of the stroke database is 32,534. Among the samples, 30% of the entire strokes are considered as test set and rest are used to train the recognition model. Afterward, we have implemented a Deterministic Finite Automata (DFA)-based character recognition system from the recognized strokes. Final outcome of the system is satisfactory considering the stroke variation orders while writing Bangla characters.

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Author information

Authors and Affiliations

  1. Future Institute of Engineering and Management, Kolkata, India

    Shibaprasad Sen, Dwaipayan Shaoo & Mridul Mitra

  2. Jadavpur University, Kolkata, India

    Ram Sarkar

  3. West Bengal State University, Barasat, India

    Kaushik Roy

Authors
  1. Shibaprasad Sen
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  2. Dwaipayan Shaoo
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  3. Mridul Mitra
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  4. Ram Sarkar
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  5. Kaushik Roy
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Corresponding author

Correspondence to Shibaprasad Sen .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Peeyush Chandra

  2. Department of Computer Science and Engineering, Haldia Institute of Technology, Haldia, West Bengal, India

    Debasis Giri

  3. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

    Fagen Li

  4. Department of Mathematics, National Institute of Technology Durgapur, Durgapur, West Bengal, India

    Samarjit Kar

  5. Department of Applied Sciences, Haldia Institute of Technology, Haldia, West Bengal, India

    Dipak Kumar Jana

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Sen, S., Shaoo, D., Mitra, M., Sarkar, R., Roy, K. (2019). DFA-Based Online Bangla Character Recognition. In: Chandra, P., Giri, D., Li, F., Kar, S., Jana, D. (eds) Information Technology and Applied Mathematics. Advances in Intelligent Systems and Computing, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-7590-2_13

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