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Online Handwritten Bangla Character Recognition Using Frechet Distance and Distance Based Features

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Document Analysis and Recognition (DAR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1020))

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Abstract

This paper inspects the impact of feature vector produced by Frechet Distance (FD) along with the conventional distance based features to recognize online handwritten Bangla characters. FD based feature computation starts with dividing a character sample into different rectangular zones. Then FD values are computed from each zone to every other zones. In distance based feature extraction technique also a character sample is divided into several segments and distances are measured from a particular segment to all other segments. Feature vectors so produced are experimented on 10000 online handwritten Bangla characters. SVM (Support Vector Machine) classifier produces the reasonably satisfactory recognition accuracy of 98.98% when FD based features are combined with distance based features.

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Authors and Affiliations

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

    Shibaprasad Sen, Jewel Chakraborty, Snehanjan Chatterjee & Rohit 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. Jewel Chakraborty
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  3. Snehanjan Chatterjee
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  4. Rohit Mitra
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  5. Ram Sarkar
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  6. Kaushik Roy
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Corresponding author

Correspondence to Shibaprasad Sen .

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Editors and Affiliations

  1. Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

    Suresh Sundaram

  2. Computer Science and Engineering, Indian Institute of Technology Jodhpur, Karwar, Rajasthan, India

    Gaurav Harit

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Sen, S., Chakraborty, J., Chatterjee, S., Mitra, R., Sarkar, R., Roy, K. (2019). Online Handwritten Bangla Character Recognition Using Frechet Distance and Distance Based Features. In: Sundaram, S., Harit, G. (eds) Document Analysis and Recognition. DAR 2018. Communications in Computer and Information Science, vol 1020. Springer, Singapore. https://doi.org/10.1007/978-981-13-9361-7_6

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  • DOI: https://doi.org/10.1007/978-981-13-9361-7_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9360-0

  • Online ISBN: 978-981-13-9361-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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