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

S. Ramya, Kumara Shama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 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 languageEnglish
Title of host publicationData Engineering and Intelligent Computing - Proceedings of IC3T 2016
PublisherSpringer Verlag
Pages75-82
Number of pages8
Volume542
ISBN (Print)9789811032226
DOIs
Publication statusPublished - 2017
Event3rd International Conference on Computer and Communication Technologies, IC3T 2016 - Vijayawada, India
Duration: 05-11-201606-11-2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume542
ISSN (Print)2194-5357

Conference

Conference3rd International Conference on Computer and Communication Technologies, IC3T 2016
CountryIndia
CityVijayawada
Period05-11-1606-11-16

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Comparison of SVM kernel effect on online handwriting recognition: A case study with kannada script'. Together they form a unique fingerprint.

  • Cite this

    Ramya, S., & Shama, K. (2017). Comparison of SVM kernel effect on online handwriting recognition: A case study with kannada script. In 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