Dynamic time warping applied to Tamil character recognition
| Autor: | Louis Vuurpijl, R.M.J. Niels |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Dynamic time warping
Intelligent character recognition business.industry Computer science Pattern recognition language.human_language Intelligent word recognition ComputingMethodologies_PATTERNRECOGNITION Tamil language Pattern matching Artificial intelligence business Classifier (UML) Natural language |
| Zdroj: | ICDAR |
| DOI: | 10.1109/icdar.2005.96 |
| Popis: | This paper describes the use of dynamic time warping (DTW) for classifying handwritten Tamil characters. Since DTW can match characters of arbitrary length, it is particularly suited for this domain. We built a prototype based classifier that uses DTW both for generating prototypes and for calculating a list of nearest prototypes. Prototypes were automatically generated and selected. Two tests were performed to measure the performance of our classifier in a writer dependent, and in a writer independent setting. Furthermore, several strategies were developed for rejecting uncertain cases. Two different rejection variables were implemented and using a Monte Carlo simulation, the performance of the system was tested in various configurations. The results are promising and show that the classifier can be of use in both writer dependent and writer independent automatic recognition of handwritten Tamil characters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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