VEIN BIOMETRIC AUTHENTICATION USING ANDROID APPLICATION

VEIN BIOMETRIC AUTHENTICATION USING ANDROID APPLICATION

Registration ID: IJNRD_199509

Published ID: IJNRD2306339

DOI: Click Here to Get

Aswathy S Nair , Anila K Prince , Arsha Suhrdy D , Rahanaz Habeeb

Vein biometric recognition ,android application ,wrist vascular biometric recognition ,contacless vascular biometric recognition , near-infrared camera ,SIFT ,SURF.

Human recognition on smartphone devices for unlocking, online payment, and bank account verification is one of the significant uses of biometrics. The exponential development and integration of this technology have been established since the introduction in 2013 of the fingerprints mounted sensor in the Apple iPhone 5s by Apple Inc.c (MotorolacAtrix was previously launched in 2011). Nowadays, in the commercial world, the main biometric variants integrated into mobile devices are fingerprint, facial, iris, and voice. In 2019, LGc Electronics announced the mobile exhibiting vascular biometric recognition, integrated using the palm vein modality: LGc G8 ThinQ(hand ID). In this work, in an attempt to become the become the first research-embedded approach to smartphone vein identification, a novel wrist vascular biometric recognition is designed, implemented, and tested on the Xiaomi Pocophone F1 and the Xiaomic Mi 8 devices. The near- infrared camera mounted for facial recognition on these devices accounts for the hardware employed. Two software algorithms, TGS-CVBR R and PIS- CVBR R, are designed and applied to a database generation and the identification task, respectively. The database, named UC3M-Contactless Version 2 (UC3M-CV2), consists of 2400 contactless infrared images from both wrists of 50 different subjects (25 females and 25 males, 100 individual wrists in total), collected in two separate sessions with different environmental light environmental light conditions. The vein biometric recognition, using PIS-CVBR , is based on the SIFT R, SURF R, and ORB algorithms.

Published Paper   E-Certificate

"VEIN BIOMETRIC AUTHENTICATION USING ANDROID APPLICATION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 6, page no.d398-d403, June-2023, Available :https://ijnrd.org/papers/IJNRD2306339.pdf

Volume 8 Issue 6, June-2023

Pages : d398-d403

Paper Reg. ID: IJNRD_199509

Published Paper Id: IJNRD2306339

Downloads: 000121151

Research Area: Computer Science & Technology 

Country: Pathanamthitta, KERALA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2306339.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306339

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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