# Handwritten text recognition using deep learning techniques: A survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/handwritten-text-recognition-using-deep-learning-techniques-a-survey/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Rakesh,P. Sandhya Reddy,V. Prashanth,KuppireddyNarasimha Reddy |
| Citations | 13 |
| DOI | 10.1051/matecconf/202439201126 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01126.pdf |
| OpenAlex ID | https://openalex.org/W4392916984 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [S. Rakesh](https://scholariq.org/researchers/s-rakesh/)

## Paper journal

- [MATEC Web of Conferences](https://scholariq.org/journals/matec-web-of-conferences/)

## 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/)
- [Image Processing and 3D Reconstruction](https://scholariq.org/topics/image-processing-and-3d-reconstruction/)
- [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.