# Feature selection for an automated ancient Tamil script classification system using machine learning techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/feature-selection-for-an-automated-ancient-tamil-script-classification-system/

## Facts

| Field | Value |
| --- | --- |
| Author Names | T. Suganya,S. Murugavalli |
| Citations | 19 |
| DOI | 10.1109/icammaet.2017.8186731 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2772099350 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [S. Murugavalli](https://scholariq.org/researchers/s-murugavalli/)

## Paper journal

- [2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)](https://scholariq.org/journals/2017-international-conference-on-algorithms-methodology-models-and-applications/)

## Paper primary topic

- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)

## Paper topics

- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Vehicle License Plate Recognition](https://scholariq.org/topics/vehicle-license-plate-recognition/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.