Communication
Finger-Knuckle-Print Recognition Using Deep Convolutional Neural Network
Selma Trabelsi✉, Djamel Samai, Abdallah Meraoumia, Khaled Bensid, Azeddine Benlamoudi, Fadi Dornaika, Abdelmalik Taleb-Ahmed
Résumé
Biometric technology has become essential in our daily life. In such a biometric system, personal identification is based on behavioral or biological characteristics. Recently, the trait of the Finger-Knuckle-Print (FKP) is used due to its ease of use and low cost. In order to develop an efficient recognition system based on these images, we propose a deep learning method where we use our own Conv...
Détails
| Langue originale | English |
|---|---|
| Revue | 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) |
| Numéro d’article | 9151531 |
| Pages | 163-168 |
| DOI | 10.1109/ccssp49278.2020.9151531 |
| Statut de publication | Publié — 2020 |