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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence computer vision facial recognition
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
- social sciences law criminology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2014-2015
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
03008 Alicante
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.