Return to homepage
Partner access
French versionEnglish version
 

Technology

My account

Account creation

Biometrics

Id3 Semiconductors has been involved in biometrics for more than ten years. Starting from the development of a thermal sensing technology, id3’s research centre has continuously enhanced his own fingerprint recognition engine that has today ranked the world’s top-class performing technologies.

 

Fingerprint recognition

id3 Semiconductors owns a core state-of-the-art fingerprint recognition technology that perfectly combines:

awarded accuracy,

standard compliancy,

amazing sensor interoperability and independence.

 

It can be successfully used on applications involving a single (verification) or multiple (identification) users, targeting systems from wide-scale server to standalone embedded devices.

 

Why using fingerprints

Fingerprint is the most widely used biometric identification technology: due to its easy capture, its uniqueness and its permanence, it is the best choice to design both reliable and robust identification systems. Each person, even a real twin, owns unique and permanent fingerprints that only intradermal injuries can damage.

 

How can accuracy and standard compliancy be achieved together

Fingerprint patterns are commonly characterized by the bifurcations and the terminations of the upper part of the skin waves, called minutiae. Using these characteristic points, id3 technology can fully comply with standards, while advanced minutiae matching techniques ensure the overall technology accuracy.

 

How sensor interoperability and independence is made possible

Advanced image processing techniques are applied on every fingerprint input images. That way, biometric data extraction is processed similarly on images acquired with different sensing technology.


Fig. 1 - Sensor independence : (a) optical sensor, (b) capacitive sensor, (c) thermal sensor

 

 

Other biometrics

id3 Semiconductors’ research centre continuously works on getting a wider biometric experience, preparing the future for face, eyes and iris recognition on automatic systems.

mentions légales