# Hindi-Handwritten-Character- Recognition using Deep Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hindi-handwritten-character-recognition-using-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | K. Sai Teja |
| Citations | 0 |
| DOI | 10.22214/ijraset.2023.54606 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | http://dx.doi.org/10.22214/ijraset.2023.54606 |
| OpenAlex ID | https://openalex.org/W4383651471 |
| Type | article |
| Year | 2023 |

## Paper authors

- [K. Sai Teja](https://scholariq.org/researchers/k-sai-teja/)

## Paper journal

- [International Journal for Research in Applied Science and Engineering Technology](https://scholariq.org/journals/international-journal-for-research-in-applied-science-and-engineering-technology/)

## 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/)
- [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.