At our national borders nobody wants the wrong people to enter the country yet we all hate to stand in line for hours. So the challenge is to find a balance in ensuring that the beneficial movement - of tourists, students, business people, and some migrants - is a smooth and speedy process, and keeping unwanted people out of the country. Of course waiting lines can be reduced by adding more people in border security, but governments are not keen on adding people these days. Good systems to support the decision-making on whom to let in the country will help in reducing waiting lines. But what is even more important is increasing the success rate of the decisions made at the border. That still poses an enormous challenge, as the different systems that can increase the accuracy of the decisions are not well integrated.
Another big problem is matching names. It is a highly underestimated problem, but a very very important one to solve. Every language and country has its own way of using names. For instance, a name translated from Arabic to Western-European language can come in many different forms. But many more cultural factors influence the use of names. So how does one know that a name, spelled in a certain way, can be matched in many other systems where other relevant data on that person is stored? It needs highly specialized algorithms and fuzzy search to maximize the chance that all the relevant data is available at the right moment.
Another way of increasing the quality of the results is being able to combine different forms of information in one matching process, for instance biometric and biographic information.
WCC has the technology and the knowledge to help governments addressing the challenges mentioned above.
- Integrating data sources
With the ELISE software platform governments can integrate a multitude of data sources for their matching needs, while leaving those databases under control of their respective owners. ELISE searches without altering any of the original data, which makes implementation of complex data structures across borders easier.
- Matching on multiple modalities
ELISE uses multi-modal fusion technology to match on any kind of biometric and biographic information. Combining passport information with face recognition and for example tattoos in one single match. This combination makes matches much more reliable than single mode matches.
- Built-in Name Matching
Many years of research & development have lead to advanced algorithms that make the matching process much more reliable as it includes multi-cultural name conventions and much more.