Neurotechnology, global provider of deep learning-based solutions, robotics and high-precision biometric identification technologies, has reported the latest FVC-onGoing test results for their Palm Print recognition algorithm. Palm Print, part of Neurotechnology’s MegaMatcher SDK, was ranked as the most accurate for both full and partial palm prints, as the fastest partial palm print matcher and the fastest full-print matcher out of the five most accurate matchers. Neurotechnology’s algorithm also has the smallest template size overall, both in full palm print and partial (lower) palm print datasets.
