A new facial recognition computer tool can help a missing child meet his/her parents by rapidly and accurately matching pictures with their biological parents.
"We wanted to see whether a machine could answer questions, such as 'Do children resemble their parents' or 'what parts of the face are more genetically inspired'," said lead researcher Afshin Dehfghan from University of Central Florida (UCF).
The new tool is able to focus on indicators people may not find as significant - such as the left eye, the chin and parts of the forehead.
By designing an algorithm to focus on specific features, the research team converted the photos into a checkerboard of patches and extracted tiny snapshots of the most significant facial parts.
The tool compared all the photos feature by feature and sorted them by the most probable match.
The team found that its programme not only did a better job of matching features of parents and their kids than random chance, but it also outperformed existing software for identifying relatives through photos by three to 10 percent.
"As this tool is developed, I could see it being used to identify long-time missing children as they mature," said Ross Wolf, an associate professor of criminal justice at UCF.
You’ve reached your limit of {{free_limit}} free articles this month.
Subscribe now for unlimited access.
Already subscribed? Log in
Subscribe to read the full story →
Smart Quarterly
₹900
3 Months
₹300/Month
Smart Essential
₹2,700
1 Year
₹225/Month
Super Saver
₹3,900
2 Years
₹162/Month
Renews automatically, cancel anytime
Here’s what’s included in our digital subscription plans
Exclusive premium stories online
Over 30 premium stories daily, handpicked by our editors


Complimentary Access to The New York Times
News, Games, Cooking, Audio, Wirecutter & The Athletic
Business Standard Epaper
Digital replica of our daily newspaper — with options to read, save, and share


Curated Newsletters
Insights on markets, finance, politics, tech, and more delivered to your inbox
Market Analysis & Investment Insights
In-depth market analysis & insights with access to The Smart Investor


Archives
Repository of articles and publications dating back to 1997
Ad-free Reading
Uninterrupted reading experience with no advertisements


Seamless Access Across All Devices
Access Business Standard across devices — mobile, tablet, or PC, via web or app
