There are
plenty of sensors present in our smartphone and fingerprint sensor is one of
the most prominent sensor in them.
The password formed by the
combination of letter and word can be guessed with the knowledge of computer
programming or by hit and trial method. So there was a need of much stronger
security, hence fingerprint sensor came into the picture.
There are three different kind of
pattern namely Arch, Loop and Whorl which make each fingerprint unique.
Fingerprint sensor analyze them for better security and block unauthorized
access. Optical fingerprint sensor and Capacitive fingerprint sensor are two
major classification of fingerprint sensor.
As one taps his finger from
different angle while registering fingerprint for the hardware, Optical
fingerprint sensor take snap of finger from different angle and prepare a map
removing a common area. This map is stored in the memory and whenever a user tries
to open the device with his fingerprint, optical fingerprint sensor makes sure
that it is matched with the previous map present in memory. On matching it
grant access to use otherwise denied. Map is prepared by taking care of key
information of finger like ridges bifurcation, smaller ridges and ridges end.
It also takes valley i.e. the gap between two ridges in account to prepare map.
Another kind of fingerprint
sensor, i.e. capacitive fingerprint sensor makes use of capacitor of very small
size which is placed on the fingerprint sensor. When a user presses his finger
on the sensor while registering, ridges area gets activated and capacitor
present in the valley region didn’t get activated, and thereafter it prepares a
map for the same which is recalled and matched when a user tries to unlock hardware
with his fingerprint.
As optical fingerprint sensor
takes snap of finger from different angles, so it can be fooled by presenting a
copy of fingerprint in front of it, whereas capacitance fingerprint sensor makes
use of capacitor and work on ON-OFF concepts so it can’t be fooled easily.
Acceptance rate i.e. how quickly
and accurately it identifies fingerprint. Normally the acceptance rate is 90% which
make sure that no unauthorized person accesses the account.
Hi Ayush, I came across your blog and thought it was great :) I was wondering if you were interested in testing our software Synergy (virtual KVM software) and write an independent review? :) You can find out more at https://symless.com/synergy Just email me if you're interested marketing@symless.com
ReplyDelete