Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
|
| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.20200319 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- <p>This paper presents a face recognition-based system for railway ticket management. The proposed system uses deep learning techniques to detect and verify passenger identity, replacing traditional ticket checking methods. The system captures facial features using a camera, matches them against a registered database, and grants or denies access accordingly. Experimental results demonstrate high accuracy and real-time performance, making it suitable for deployment in railway stations. The system aims to reduce fraud, improve efficiency, and enhance passenger experience.</p>