Opendata, web and dolomites


Enabling the large-scale deployment of Facial Recognition in banking security

Total Cost €


EC-Contrib. €






Project "FACCESS" data sheet

The following table provides information about the project.


Organization address
postcode: 3008
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.7. (Secure societies - Protecting freedom and security of Europe and its citizens)
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2015
 Funding Scheme SME-1
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2016-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FACEPHI BIOMETRIA SA ES (ALICANTE) coordinator 50˙000.00


 Project objective

In the FACCESS project we aim at performing a pilot study for the large-scale implementation of our face recognition technology in banking security. There is strong demand in the banking industry for secure biometric applications. In fact, in May 2014 the European Central Bank (ECB) published a list of recommendations for increased bank transaction security and for the first time, biometrics was included as one of most valid and securest authentication parameters. Security has been always a major concern of the banking industry, fundamentally because banks are attractive to criminals as a direct access to currency, bank notes, and user‘s personal information which can be used for identity theft (phishing and card skimming). The concerns about bank security have always been there, but it has been after the breakthrough of online and mobile banking when bank fraud has become major issue to address with urgency. Currently, whether it’s online, on a smartphone, on an ATM or on a POS (point-of-sale), the great majority of banking transactions are done by using a 4-6 digits PIN code as the way for authentication. This form of authentication is of an extremely low security level in all cases, but especially more in online banking where cybercriminals and hackers can easily obtain this PIN code in a matter of seconds. As a result, the total value of fraudulent transactions is rapidly increasing year by year, being now estimated at €1.33 billion solely in Europe. In this scenario, biometrics holds great promise to become the gold standard authentication method for bank transactions in the near future. However, despite the clear opportunity there are still some barriers preventing the banking biometrics breakthrough, at least on a large scale. Our Facial recognition technology gathers the ideal features to overcome these barriers, representing a great opportunity to definitively bring biometric authentication to banking security.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "FACCESS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "FACCESS" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.7.;H2020-EU.2.3.1.) (2018)

PROBE.LY - Web Application Vulnerability Scanning Suite for Agile Teams

Read More  

SRAP (2018)

Safe and Readily Authenticated Pharmaceutical dosage forms (tablets)

Read More  

MiRTLE (2018)

Next generation, high performance, long range, standoff, concealed threat detection system to protect European citizens and critical infrastructure

Read More