Open AccessFinger Vein Recognition Using Vgg-16 Cnn Algorithm
Author(s) -
Ganugula Sri Harshan*,
S. Sanjeeva Rayudu,
Kamal Kant Bharadwaj,
K. Saravanan
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h6254.069820
Subject(s) - biometrics , computer science , preprocessor , authentication (law) , identification (biology) , word error rate , biometric data , security system , palm print , computer security , finger print , pattern recognition (psychology) , artificial intelligence , data mining , botany , biology
With the advancement in the electronic technology, data identification and security is to be mainly considered as a factor in the security. Biometric recognition has been taken in to consideration for security purpose. Data security has to be done to prevent the system security from transmission of data by unauthorized users. Various authentications are taken in to consideration but most commonly focuses on finger print biometric system. Biometric recognition is taken in priority which is high safe and security oriented. Preprocessing, extraction and Equal Error rate are taken in to consideration. In this we are mainly focusing in finger vein authentication domains over the system implementation.