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Mexican scientists have developed an algorithm that identifies handprints and patented their innovation in Spain with the collaboration of the University of Canarias .
The project is the result of the doctoral thesis of Miguel Ángel Medina Pérez, from the National Institute of Astrophysics, Optics, and Electronics (INAOE) , and had the academic support of Leopoldo Altamirano Robles , general director of this institute, reported the National Science and Technology Council (CONACYT) , through its information agency.
"Normally fingerprints are used to identify people, but even though they have a high percentage of confidence, there is always a range of uncertainty," Altamirano Robles explained in an interview.
Handprints are another tool often used by governments, banks, companies and organizations around the world to recognize people, according to the specialist.
Algorithms exist for the identification of the palmar fingerprint, but through our new scientific research "we wanted to take part in that field and develop this new technology that recognizes handprints".
The researcher from Computer Sciences added that the precision of the new algorithm could make it one of the top 10 worldwide .
He considered that in the field of biometrics, there are elements that can contribute to the recognition of people.
"You can use the way they walk or their faces. It is almost resolved that you show your photo and identify yourself. The problem now is that a system recognizes you, for example, when you walk in a hallway without seeing the camera and without controlled lighting, which can become a problem," he explained.
The specialists reported that they are currently working on a system that can monitor people’s activities , a system that can differentiate if someone is putting someone else (or themselves) at risk. "This has security applications, we are working towards that," he explained.
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