Comparison of SVM kernel effect on online handwriting recognition: A case study with kannada script

S. Ramya; Kumara Shama

doi:10.1007/978-981-10-3223-3_7

Comparison of SVM kernel effect on online handwriting recognition: A case study with kannada script

S. Ramya^*, Kumara Shama

^*Corresponding author for this work

Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Data Engineering and Intelligent Computing - Proceedings of IC3T 2016
Editors	B. Janakiramaiah , Vikrant Bhateja, K. Srujan Raju, Suresh Chandra Satapathy
Publisher	Springer Verlag
Pages	75-82
Number of pages	8
Volume	542
ISBN (Print)	9789811032226
DOIs	https://doi.org/10.1007/978-981-10-3223-3_7
Publication status	Published - 2017
Event	3rd International Conference on Computer and Communication Technologies, IC3T 2016 - Vijayawada, India Duration: 05-11-2016 → 06-11-2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	542
ISSN (Print)	2194-5357

Conference

Conference	3rd International Conference on Computer and Communication Technologies, IC3T 2016
Country/Territory	India
City	Vijayawada
Period	05-11-16 → 06-11-16

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-10-3223-3_7

Cite this

Ramya, S., & Shama, K. (2017). Comparison of SVM kernel effect on online handwriting recognition: A case study with kannada script. In B. Janakiramaiah , V. Bhateja, K. S. Raju, & S. C. Satapathy (Eds.), Data Engineering and Intelligent Computing - Proceedings of IC3T 2016 (Vol. 542, pp. 75-82). (Advances in Intelligent Systems and Computing; Vol. 542). Springer Verlag. https://doi.org/10.1007/978-981-10-3223-3_7

Ramya, S. ; Shama, Kumara. / Comparison of SVM kernel effect on online handwriting recognition : A case study with kannada script. Data Engineering and Intelligent Computing - Proceedings of IC3T 2016. editor / B. Janakiramaiah ; Vikrant Bhateja ; K. Srujan Raju ; Suresh Chandra Satapathy. Vol. 542 Springer Verlag, 2017. pp. 75-82 (Advances in Intelligent Systems and Computing).

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title = "Comparison of SVM kernel effect on online handwriting recognition: A case study with kannada script",

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.",

author = "S. Ramya and Kumara Shama",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 3rd International Conference on Computer and Communication Technologies, IC3T 2016 ; Conference date: 05-11-2016 Through 06-11-2016",

year = "2017",

doi = "10.1007/978-981-10-3223-3\_7",

language = "English",

isbn = "9789811032226",

volume = "542",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "75--82",

editor = "\{Janakiramaiah \}, B. and Vikrant Bhateja and Raju, \{K. Srujan\} and Satapathy, \{Suresh Chandra\}",

booktitle = "Data Engineering and Intelligent Computing - Proceedings of IC3T 2016",

address = "Germany",

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Ramya, S & Shama, K 2017, Comparison of SVM kernel effect on online handwriting recognition: A case study with kannada script. in B Janakiramaiah , V Bhateja, KS Raju & SC Satapathy (eds), Data Engineering and Intelligent Computing - Proceedings of IC3T 2016. vol. 542, Advances in Intelligent Systems and Computing, vol. 542, Springer Verlag, pp. 75-82, 3rd International Conference on Computer and Communication Technologies, IC3T 2016, Vijayawada, India, 05-11-16. https://doi.org/10.1007/978-981-10-3223-3_7

Comparison of SVM kernel effect on online handwriting recognition: A case study with kannada script. / Ramya, S.; Shama, Kumara.
Data Engineering and Intelligent Computing - Proceedings of IC3T 2016. ed. / B. Janakiramaiah ; Vikrant Bhateja; K. Srujan Raju; Suresh Chandra Satapathy. Vol. 542 Springer Verlag, 2017. p. 75-82 (Advances in Intelligent Systems and Computing; Vol. 542).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2018.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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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M3 - Conference contribution

AN - SCOPUS:85021228997

SN - 9789811032226

VL - 542

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BT - Data Engineering and Intelligent Computing - Proceedings of IC3T 2016

A2 - Janakiramaiah , B.

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PB - Springer Verlag

Y2 - 5 November 2016 through 6 November 2016

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Ramya S, Shama K. Comparison of SVM kernel effect on online handwriting recognition: A case study with kannada script. In Janakiramaiah B, Bhateja V, Raju KS, Satapathy SC, editors, Data Engineering and Intelligent Computing - Proceedings of IC3T 2016. Vol. 542. Springer Verlag. 2017. p. 75-82. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-10-3223-3_7

Comparison of SVM kernel effect on online handwriting recognition: A case study with kannada script

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