An Improved Multimodal Biometric Identification System Employing Score-Level Fuzzification of Finger Texture and Finger Vein Biometrics

Syed Aqeel Haider, Shahzad Ashraf, Raja Masood Larik, Nusrat Husain, Hafiz Abdul Muqeet, Usman Humayun, Ashraf Yahya, Zeeshan Ahmad Arfeen, Muhammad Farhan Khan · 2023

Read An Improved Multimodal Biometric Identification System Employing Score-Level Fuzzification of Finger Texture and Finger Vein Biometrics by Syed Aqeel Haider, Shahzad Ashraf, Raja Masood Larik, Nusrat Husain, Hafiz Abdul Muqeet, Usman Humayun, Ashraf Yahya, Zeeshan Ahmad Arfeen, Muhammad Farhan Khan (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10748327.txt.

Description

Syed Aqeel Haider and co-authors built a two-trait finger ID system in a 2023 paper. Finger texture and finger vein patterns each name a person, but each can fail alone under poor light or worn skin. Near-infrared photos catch both traits in one shot, which makes a paired check cheap to add.

Their system scores each trait, then blends the scores with a fuzzy rule set rather than a hard cut. Tests ran on three public finger data sets from Hong Kong, the Netherlands, and their own near-infrared set. The blend cut false calls against either trait alone. Such fusion suits door and device locks.

Catalog record

CREATORSyed Aqeel Haider, Shahzad Ashraf, Raja Masood Larik, Nusrat Husain, Hafiz Abdul Muqeet, Usman Humayun, Ashraf Yahya, Zeeshan Ahmad Arfeen, Muhammad Farhan Khan
YEAR2023
COLLECTIONPAPERS
FORMATTXT
FILE SIZE68 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC10748327

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