•    Freeware
  •    Shareware
  •    Research
  •    Localization Tools 20
  •    Publications 701
  •    Validators 2
  •    Mobile Apps 22
  •    Fonts 31
  •    Guidelines/ Draft Standards 3
  •    Documents 13
  •    General Tools 38
  •    NLP Tools 105
  •    Linguistic Resources 251
  Catalogue
In this article, we aim at reducing the error rate of the Tamil symbol recognition system by employing multiple experts to reevaluate certain decisions of the primary Support Vector Machine (SVM) classifier. Motivated by the relatively the primary Support Vector Machine (SVM) classifier. Motivated by the relatively high percentage of occurrence of base consonants in the script, a reevaluation technique has been proposed to correct any ambiguities arising in the base consonants Secondly, a dynamic time warping method is proposed to automatically extract Secondly, a dynamic time warping method is proposed to automatically extract tures derived from these regions aid in reducing the degree of confusions. Thirdly statistics of specific features are proposed for resolving any confusions in vowel modifiers.
The reevaluation approaches are tested on two databases (a) the isolated Tamil symbols in the IWFHR test set, and (b) the symbols segmented from a set of 10000 Tamil words. The recognition rate of the isolated test symbols of the IWFHR database improves by 1.9%. For the word database, the incoration of the reevaluation step improves the symbol recognition rate by 3.5% (from 88.4% to 91.9 %) This, in turn boosts the word recognition rate by 11.9% (from 65.0% to 76.9%) The reduction in the word error rate has been achieved using a generic approach, without the incorporation of language models.

Added on September 23, 2014

11

  More Details
  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Suresh Sundaram, A G Ramakrishnan
Author Community Profile :
Similar / Suggested Resources