| Autor: |
Zhang Luyun, Duan Qiaoling, Ma Hairong, Cen Kaiwei |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
ITM Web of Conferences, Vol 47, p 01024 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2271-2097 |
| DOI: |
10.1051/itmconf/20224701024 |
| Popis: |
In view of the inefficiency and cheating in time attendance, a face recognition attendance management system has been developed. The system is developed under Windows 10 using Java language and MySql database. After the user logs on to the system, click the punch-in button. The system calls camera through openCV to take pictures, and then matches this photo with the photo in the database. If the match is successful, the system can punch in successfully. The full day's work time is calculated by clocking in to record the employee's clock-in time each time. In order to improve the speed of face recognition, the face recognition algorithm in this system first uses the perceptual hash algorithm to filter the photos, and then calls the face comparison interface of the Rainbow Soft Face Recognition Engine for face recognition, thereby improving the speed of face recognition. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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