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A Model Of A Biometric Recognition System Based On The Hough Transform Of Libor Masek and 1-D Log-Gabor Filter

Auteurs: » Hammou Djalal Rafik
» Mahmoudi Sidi Ahmed
» Mechab Boubaker
Type : Conférence Internationale
Nom de la conférence : 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)
Lieu : Pays:
Lien : »
Publié le : 24-11-2020

Biometric iris recognition is a very advanced technology for the data protection and identification of individuals. This technology is widely used by multi-national society in terms of data protection and security. A biometric iris recognition system requires an adapted architecture and specific because it generally recommends 5 steps. The acquisition step consists of getting a good quality iris image by digital cameras of high resolution. The segmentation can use an algorithm and mathematical methods such as John Daugman’s Interro Differential Operator [3] or Richard Paul Wildes’s Hough Transform [4]. The normalization phase projects to transform the relevant information from the circular iris image into the rectangular shape. The feature extraction step requires the use of specific filters (1-D Log-Gabor). The end step is the matching that allows us to compare the descriptor of the user with that of the database to â€¦

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