2D and 3D Palmprint Recognition using Deep ...
Document type :
Communication dans un congrès avec actes
Title :
2D and 3D Palmprint Recognition using Deep Learning Method
Author(s) :
Samai, Djamel [Auteur]
Université Kasdi Merbah Ouargla
Bensid, Khaled [Auteur]
Université Kasdi Merbah Ouargla
Meraoumia, Abdallah [Auteur]
Tahleb Ahmed, Abdelmalik [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Bedda, Mouldi [Auteur]
Université Kasdi Merbah Ouargla
Bensid, Khaled [Auteur]
Université Kasdi Merbah Ouargla
Meraoumia, Abdallah [Auteur]
Tahleb Ahmed, Abdelmalik [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Bedda, Mouldi [Auteur]
Conference title :
2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS)
City :
Tebessa
Country :
Algérie
Start date of the conference :
2018-10-24
Publisher :
IEEE
English keyword(s) :
"Feature extraction"
"Palmprint recognition"
"Databases"
"Histograms"
"Gray-scale"
"Euclidean distance"
"Convolution"
"Palmprint recognition"
"Databases"
"Histograms"
"Gray-scale"
"Euclidean distance"
"Convolution"
HAL domain(s) :
Informatique [cs]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique
English abstract : [en]
In the last years, several researchers have interested in two-dimensional (2D) palmprint recognition. In order to enhance the security of biometric systems, recently, some works proposed to use three-dimensional (3D) ...
Show more >In the last years, several researchers have interested in two-dimensional (2D) palmprint recognition. In order to enhance the security of biometric systems, recently, some works proposed to use three-dimensional (3D) palmprint recognition. The advantage of using the 3D capture systems is that they capture the 2D and 3D palmprint at the same time, and they give different and complementary information. The 3D component contains the depth of the palm surface, whereas the 2D component contains the texture. In this paper, we proposed an efficient biometric identification system combining 2D and 3D palmprint by fusing them at matching score level. To exploit the 3D palmprint data, we converted it to grayscale images by using the Mean Curvature (MC) and the Gauss Curvature (GC). Feature extraction is made by a deep learning algorithm that is called the Discrete Cosine Transform Net (DCT Net). The experiments performed on a database containing 8000 samples show that the proposed scheme can achieve a high recognition rate.Show less >
Show more >In the last years, several researchers have interested in two-dimensional (2D) palmprint recognition. In order to enhance the security of biometric systems, recently, some works proposed to use three-dimensional (3D) palmprint recognition. The advantage of using the 3D capture systems is that they capture the 2D and 3D palmprint at the same time, and they give different and complementary information. The 3D component contains the depth of the palm surface, whereas the 2D component contains the texture. In this paper, we proposed an efficient biometric identification system combining 2D and 3D palmprint by fusing them at matching score level. To exploit the 3D palmprint data, we converted it to grayscale images by using the Mean Curvature (MC) and the Gauss Curvature (GC). Feature extraction is made by a deep learning algorithm that is called the Discrete Cosine Transform Net (DCT Net). The experiments performed on a database containing 8000 samples show that the proposed scheme can achieve a high recognition rate.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Source :