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Launching the next generation of mobile and multi-platform signature system based on biometric parameters

Objective

The SignSigma technology, developed by the SME Sigma Technologies, allows verifying the identity of a person from the dynamic parameters of their biometric signature with an extremely very low error ratio for first time merely using a common tablet or smartphone. The technology is not based on the image of the signature but on its dynamic biometric parameters (pressure, velocity, acceleration, etc.). This technology has been recognised as the best technology in the First International Signature Verification Competition.

Smartphones, tablets and the growing access to mobility will accelerate identification needs, and ease its introduction through various applications like banking, the health sector, insurance, digital preservation, control access, etc. The range of applications is huge, as this disruptive technology creates new markets as it will permit to be identified at anytime, and anywhere.

We are almost done developing technology and we need the SME Instrument in order (i) to finalise the extensive trials we are undertaking on the different platforms (smartphones, tablets), (ii) to select and prioritize the most adequate application/s, (iii) to implement the final applications and integrate them with the specific enterprise content management systems, (iv) to undertake an intensive pilot tests of the product and the technology and (v) to assess the security of the whole system. In Phase 1, our specific objective is to prepare a clear Feasibility Study and Business Plan on how to reach and exploit this extraordinary technology properly in different scenarios, which might imply different business models, and different market strategies.

It is expected that a new European directive will be issued authorizing and giving much more legal power to biometric signatures as in the US. This technology will permit to reduce paperwork, reduce costs, save time in operations, and decrease fraud by bio-identity, consequently having a significant impact on the economy.

Call for proposal

H2020-SMEInst-2014-2015

See other projects for this call

Sub call

H2020-SMEINST-1-2014

Coordinator

SIGMA AI SLU
Net EU contribution
€ 50 000,00
Address
AVENIDA DE BURGOS 114
28050 Madrid
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 71 429,00