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With the availability of inexpensive biometric sensors, computing power, and memory, it is becoming increasingly clear that biometrics technology will have broader usage, and therefore broader scope of future research in addressing newer challenges and pushing the boundaries. If we perceive of biometrics as a fundamental technology with broad scientific and economic impact, then designing efficient algorithms and systems will require a multidisciplinary effort in signal/image processing, pattern recognition, machine learning, sensor design, embedded systems, and information fusion.

IEEE Access Special Section Editorial: Applying Four D’S of Machine Learning to Advance Biometrics