Finger Vein Recognition Using Vgg-16 Cnn Algorithm
Ganugula Sri Harshan1, Sudheer Rayudu2, Krishnan Anush Bharadwaj3, Saravanan K4
1Ganugula Sri Harshan, Department of Communication Engineering, VIT Vellore, Vellore, India.
2Sudheer Rayudu, Department of Communication Engineering, VIT Vellore, Vellore, India. E
3Krishnan Anush Bharadwaj, Department of Communication Engineering, VIT Vellore, Vellore, India.
4K. Saravanan, Professor, School of Electronics and Engineering, VIT Vellore, Vellore, India.
Manuscript received on May 03, 2020. | Revised Manuscript received on May 16, 2020. | Manuscript published on June 10, 2020. | PP: 112-114 | Volume-9 Issue-8, June 2020. | Retrieval Number: 100.1/ijitee.H6254069820 | DOI: 10.35940/ijitee.H6254.069820
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: LBP, Data augmentation, Resnet, VGG-16, ERR, CNN.
Scope of the Article: CNN