The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Biometric Technologies
Abstract
Biometrics is an emerging technology for automatic human identification and verification using unique biological traits (Woodward, Orlans, & Higgins, 2002). These traits include face, fingerprints, iris, voice, hand geometry, handwriting, retina, and veins. For example, fingerprint recognition analyzes ridge ends, bifurcation, or dots of finger tips; voice recognition analyzes speech signal characteristics; iris recognition analyzes the pits, striations, filaments, rings, dark spots, and freckles of eyes; and face recognition analyzes facial parameters (Du et al., 2004). It is based on “something you are” rather than “something you have” (Du, 2005). Compared to the traditional identification and verification ways, such as user name/password, and paper IDs, biometrics is more convenient to use, reduces fraud, and is more secure (Reid, 2004).
Related Content
|
Christine Kosmopoulos.
© 2022.
22 pages.
|
|
Melkamu Beyene, Solomon Mekonnen Tekle, Daniel Gelaw Alemneh.
© 2022.
21 pages.
|
|
Rajkumari Sofia Devi, Ch. Ibohal Singh.
© 2022.
21 pages.
|
|
Ida Fajar Priyanto.
© 2022.
16 pages.
|
|
Murtala Ismail Adakawa.
© 2022.
27 pages.
|
|
Shimelis Getu Assefa.
© 2022.
17 pages.
|
|
Angela Y. Ford, Daniel Gelaw Alemneh.
© 2022.
22 pages.
|
|
|