Billions of dollars a year are spent vaccinating children in developing countries, but about half as many immunizations are administered as could be because of unreliable vaccination records. Biometric researchers from Michigan State University have developed a fingerprint-scanning system for children under five years old that could replace ineffective paper vaccination records.
Until now, biometrics experts believed fingerprints of babies and toddlers were too unreliable because image sensors are designed for the ridges and valleys of adult fingertips. The Michigan State University researchers developed software that makes it feasible to accurately match fingerprints of children under five with off-the-shelf equipment. They intend to present a paper detailing their work at a biometrics conference later this month. Paper-based vaccination records are easily lost and don’t reliably provide health workers with up-to-date information on patient history. Fingerprints are a better biometric trait than the iris of the eye or palm and footprints because they are easier to record from young children and the sensors are small and work quickly.
The Bill and Melinda Gates Foundation funded the research specifically for recording vaccinations, but the patient-identifying system has broader applications, says Anil Jain, a distinguished professor at Michigan State University’s Computer Science and Engineering Department and coauthor of the paper. The technology could be used “in any health-care scenario where you have the potential for fraud, such as insurance fraud,” says Jain.
Recording fingerprints from infancy into early childhood and adulthood would also allow countries to link civil registries, such as birth and death certificates to health care records, school enrollments, and voter registration.
The Michigan State University researchers needed to process images taken from fingerprint sensors using software to compensate for the small size of the children’s fingerprints, as well as their sometimes wet and oily skin. They also improved accuracy by creating matches based on both thumbs and index fingers.
In a trial in Benin, West Africa, the software successfully matched about 70 percent, compared to 98 percent in another test in Lansing, Michigan. The lower accuracy is because the Benin clinic was outdoors, with dust and high humidity, but Jain believes match accuracy can be improved to 95 percent in these types of conditions. The Michigan State University researchers plan to do further tests, potentially in India, where already there is a national biometric ID program.
Privacy groups have warned that biometric data can be misused or faked. However, people in developing countries typically do not voice concerns over privacy and security with biometric data, says Mark Thomas, the executive director of VaxTrac, a nonprofit that worked with the Benin trials. “Compared to the status quo of not getting vaccinations for life-threatening diseases, mothers are not asking these questions because the benefits are so intuitive,” he says.
Toronto wants to kill the smart city forever
The city wants to get right what Sidewalk Labs got so wrong.
Chinese gamers are using a Steam wallpaper app to get porn past the censors
Wallpaper Engine has become a haven for ingenious Chinese users who use it to smuggle adult content as desktop wallpaper. But how long can it last?
Yann LeCun has a bold new vision for the future of AI
One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.
The US military wants to understand the most important software on Earth
Open-source code runs on every computer on the planet—and keeps America’s critical infrastructure going. DARPA is worried about how well it can be trusted
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.