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How it
works
Fingerprint systems translate illuminated images of fingerprints into digital
code for further software such as enrollment (fingerprint registration) and
verification (authentication of registered users).
BioEnable devices use the advanced SEIR method and CMOS image sensor to capture
high contrast, high resolution fingerprint images that are virtually
distortion-free. A series of powerful algorithms developed by BioEnable extract
minutiae data from the image, mapping the distinguishing characteristics of
fingerprint ridge ends, bifurcations, loops, splits, upper and lower cores.
This data is then converted into a digital template, and stored in a database.
The actual fingerprint image is never stored, and cannot be constructed from
templates. To identify or verify a fingerprint, a proprietary matching algorithm
compares the new template made from the extracted minutiae points from the input
fingerprint on the optical module to a previously stored sample. The entire
matching process takes roughly one second. Authentication takes place either
locally or on a server, depending on system configuration.
Advantages of Using Fingerprint
Recognition
Identification vs. Verification
There are two primary functions offered by any biometric system. One is
identification, a one-to-many (1:M) matching process wherein a biometric sample
is compared to a set of stored samples in a database. The other is verification,
a one-to-one (1:1) matching process in which the biometric system compares an
individual's biometric sample to previously enrolled data for that user. The
process of verification narrows the biometric database search by including other
identifiers such as names or IDs. The terms "verification" and
"authentication" are sometimes used interchangeably because both terms
are used primarily to establish a specific user's validity rather than to
identify users by querying an entire database of biometric samples.