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Recognition of Online Handwritten Gurmukhi Strokes Using Support Vector Machine

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Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 201))

Abstract

This paper presents an implementation to recognize Online Handwritten Gurmukhi strokes using Support Vector Machine. This implementation starts with a phase named Preprocessing, which consists of 5 basic algorithms. Prior to these algorithms, a basic step called Stroke Capturing is done, which samples data points along the trajectory of an input device. After preprocessing, recognition of Gurmukhi stroke is done using Support Vector Machine with the help of two cross validation techniques, namely, holdout and k-fold. The recognition is based on the unique IDs identified as the strokes in order to represent a Punjabi akshar (word). These strokes are taken from the one hundred Punjabi words written by 3 different writers.

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Authors and Affiliations

  1. School of Mathematics and Computer Applications, Thapar Univesity, Patiala, India

    Mayank Gupta & Rahul Agrawal

  2. Department of Computer Science and Engineering, Sriram College of Engineering and Technology and Management, Gwalior, India

    Nainsi Gupta

Authors
  1. Mayank Gupta
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  2. Nainsi Gupta
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  3. Rahul Agrawal
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Correspondence to Mayank Gupta .

Editor information

Editors and Affiliations

  1. South Asian University, Chankya Puri, New Delhi, 110021, India

    Jagdish Chand Bansal

  2. ABV - IIITM, Gwalior, Gwalior, 474015, Madhya Pradesh, India

    Pramod Kumar Singh

  3. , Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247667, India

    Kusum Deep

  4. , Department of Paper Technology, Indian Institute of Technology Roorkee, Saharanpur Campus, Roorkee, India

    Millie Pant

  5. , Department of Computer Science, Liverpool Hope University, Office: FML 412, Liverpool, Liverpool, L16 9JD, United Kingdom

    Atulya K. Nagar

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Gupta, M., Gupta, N., Agrawal, R. (2013). Recognition of Online Handwritten Gurmukhi Strokes Using Support Vector Machine. In: Bansal, J., Singh, P., Deep, K., Pant, M., Nagar, A. (eds) Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Advances in Intelligent Systems and Computing, vol 201. Springer, India. https://doi.org/10.1007/978-81-322-1038-2_42

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  • DOI: https://doi.org/10.1007/978-81-322-1038-2_42

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-1037-5

  • Online ISBN: 978-81-322-1038-2

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