Accueil » Technologies »



To cover the requirements of the mobile Secure-ID market, Coppernic has integrated into its solutions some biometrics modules that will capture and decode the fingerprints (unique for each and every individual) of the person to identify.

To be technologically agnostic, we have integrated two different types of fingerprint sensors:

  • The capacitive sensor from UPEK
  • The optical sensor from Morpho (Safran Group)

Capacitive Technology (UPEK sensors)

This is currently the most popular technology. The sensor reproduces the image of ridges and valleys of the fingerprint and current capacitors are measuring them.

We have chosen the UPEK sensor (referenced as TCS1) that offers:

  • An intuitive and ergonomic interface particularly appreciated by the agents working in the field
  • The best available reading quality for this kind of compact capacitive sensor.

A metallic ring has been specifically designed and integrated around the sensor to support the EIM (Enhanced Image Mode) delivered with the UPEK SDK. This mode guarantees the best possible identification quality. That's why and how this solution has been IPS 201 certified (this certification is required by the FBI).

The active capacitive technology enables the detection and the measurement of the charge differences between the ridgelines and grooves forming the fingerprint. This type of measurement allows the detection of fake fingers. The image quality of the fingerprint may vary depending on whether the skin of the finger is dirty, too wet or too dry, oily or afflicted with a break. This biometric technology will reflect these factors.

Thanks to its large detection area (12,8 mm x 18 mm or 0,5" x 0,7"), the UPEK TCS1 sensor can easily scan all types and sizes of fingers. This reading area enables the acquisition of high quality images (508 DPI resolution) that will be easily and shortly processed during checking operations. Its very low consumption (3,6mW for 10 fingerprints capture per hour) makes this sensor ideal for mobile applications.

Optical Sensing Technology (Morpho Safran Group sensors)

The optical method is also very popular. The sensor is similar to a mini CCD / CMOS camera. The finger is placed on a hard plastic or quartz plate in front of the mini camera that will capture the image of the fingerprint by finding the lines traced by the peaks (in contact with the sensor) and valleys (troughs).

Coppernic has integrated two types of optical sensors from Morpho (Safran Group):

  • The MSO on the mobile device MorphoRapIDTM
  • The CBM on the mobile device MorphoCheckTM

The MSO sensor:

The MSO is designated to acquire very high definition fingerprint templates that will allow quick and reliable person identification. The MSO is dedicated to applications such as:

  • Registration for the creation of IDentity cards, biometric passports and other documents
  • Verification of IDentity
  • Enrolment of people by registration of their biometrics data into large databases

The MSO integrates the Morpho (Safran Group) biometric algorithms that are renowned across the world for their high performance, interoperability and compatibility with approved standards.

Its wide capture area (23mm x 23mm or 0,86" x 0,86") and its processing speed enable an 1:1 authentication in 0,8 sec and a 1:500 in 0,9 sec. It is FBI PIV-IQS certified and ISO 19794-2 and INCITS 378 compliant.

The CBM sensor:

The CBM (Compact Biometric Module) is a compact sensor for fingerprint recognition. Robust and high performance, it’s a very good product for people identification and authentication applications. The CBM integrates a scanner that has been specifically designed to optimize fingerprint acquisition. The CBM is delivered with a SDK that will help the development of any kind of biometric applications.

Thanks to its large capture area (18mm x 22mm or 0,70" x 0,86" ) and its processing capacity, it’s capable to perform a 1:1 authentication in less than 1 second and a 1:500 identification in 1,5 seconds.

Web design : Atelier de Signes - Intégration : Equation Web