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| Main Authors: | , , , |
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| Format: | Recurso digital |
| Jezik: | angleščina |
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Zenodo
2026
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| Teme: | |
| Online dostop: | https://doi.org/10.5281/zenodo.20200319 |
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| _version_ | 1866901910261334016 |
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| author | Pakhale, Shreyas Mogare, Tejas Vasaikar, Mayank Shinde, Satvik |
| author_facet | Pakhale, Shreyas Mogare, Tejas Vasaikar, Mayank Shinde, Satvik |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20200319 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | FACE RECOGNITION SYSTEM FOR TICKET MANAGEMENT Pakhale, Shreyas Mogare, Tejas Vasaikar, Mayank Shinde, Satvik Face Recognition Railway Ticket Management Deep Learning Computer Vision Biometric System <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> |
| title | FACE RECOGNITION SYSTEM FOR TICKET MANAGEMENT |
| topic | Face Recognition Railway Ticket Management Deep Learning Computer Vision Biometric System |
| url | https://doi.org/10.5281/zenodo.20200319 |