# Evaluating the Performance of Deep Learning Models in Handwritten Digit Recognition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluating-the-performance-of-deep-learning-models-in-handwritten-digit/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Madan Lal Saini,Bharat Tripathi,Mohammed Sohail Mirza |
| Citations | 18 |
| DOI | 10.1109/ictacs59847.2023.10390027 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4391217214 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Madan Lal Saini](https://scholariq.org/researchers/madan-lal-saini/)

## 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/)

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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.