# Handwriting Biometrics for Parkinson’s Disease Detection Using Deep Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/handwriting-biometrics-for-parkinson-s-disease-detection-using-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kaab Mohammed Arzoo,Aiman Darakhshan,Fahrettin Ugur Altun,Ali Gohar,Rashid Ali,Umme Rabab Syed |
| Citations | 0 |
| DOI | 10.1109/icet66147.2025.11321457 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7123757137 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Umme Rabab Syed](https://scholariq.org/researchers/umme-rabab-syed/)

## Paper primary topic

- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)

## Paper topics

- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)
- [Parkinson's Disease Mechanisms and Treatments](https://scholariq.org/topics/parkinson-s-disease-mechanisms-and-treatments/)
- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)

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