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Comparison of SVM Kernel Effect on Online Handwriting Recognition: A Case Study with Kannada Script

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Data Engineering and Intelligent Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 542 ))

Abstract

Proposed research work is aimed at investigating the issues specific to online Kannada handwriting recognition and design an efficient writer independent Online Handwriting recognizer. The proposed system accepts continuous Kannada online handwriting from pen tablet and produces recognized Kannada text as the system output. System comprises of pre-processing, segmentation, feature extraction and character recognition units. SVM classifier is implemented to test its efficiency with the Kannada handwritten characters. The recognition rates are analyzed for different SVM kernels.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal, Karnataka, India

    S. Ramya & Kumara Shama

Authors
  1. S. Ramya
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  2. Kumara Shama
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Corresponding author

Correspondence to S. Ramya .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. DVR and Dr. HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

    B. Janakiramaiah

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Ramya, S., Shama, K. (2018). Comparison of SVM Kernel Effect on Online Handwriting Recognition: A Case Study with Kannada Script. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_7

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  • DOI: https://doi.org/10.1007/978-981-10-3223-3_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3222-6

  • Online ISBN: 978-981-10-3223-3

  • eBook Packages: EngineeringEngineering (R0)

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