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جامعة الشهيد حمه لخضر — الواديبوابة البحث العلمي
ورقة مؤتمر

Finger-Knuckle-Print Recognition Using Deep Convolutional Neural Network

Selma Trabelsi✉، Djamel Samai، Abdallah Meraoumia، Khaled Bensid، Azeddine Benlamoudi، Fadi Dornaika، Abdelmalik Taleb-Ahmed

الملخّص

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...

التفاصيل

اللغة الأصليةEnglish
المجلّة2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)
رقم المقال9151531
الصفحات163-168
DOI10.1109/ccssp49278.2020.9151531
حالة النشرمنشور — 2020