The world best fingerprint recognition ROIC and algorithm technology
Ultrasonic Fingerprint Sensor
Fingerprint Recognition Steps
Each rod (cell) of the sensor individually transmits (Tx) / receive (Rx) ultrasonic signals vertically (Z axis) and collects fingerprint data
If you put your finger on fingerprint recognition, data values of the ridge (sensor contact surface) and valley (sensor non-contact surface) of the fingerprint are different and can be measured up to the high value
This fingerprint data is additionally acquired and recognized by 2D / 3D fingerprint data comparison matching algorithm
Fingerprint recognition technology is classified into optical, capacitive, and ultrasonic based on the characteristics of fingerprint identification technology.
Currently, optical fingerprint recognition and capacitive fingerprint recognition technologies account for 99% of the market, but due to issues such as lower recognition rate according to the surface condition of the fingerprint and fake fingerprint authentication, ultrasonic fingerprint recognition technology is raising.
Types of fingerprint recognition technology
BEFS Touch Bio
Extract feature points of fingerprints by analyzing differences of ultrasonic signals that change according to the shape of fingerprints
Extract feature points of fingerprints by analyzing differences of capacitance that change according to the type of fingerprints
Extract feature points of fingerprint by analyzing forms of fingerprints reflected by visible light
Recognition error due to fingerprint surface condition