A biometric information spoofing detection method, the method comprising: receiving, from a sensor, first feature information including a static feature associated with biometric information of a user and a dynamic feature obtained based on images (216, 303) associated with the biometric information, as well as the images (216, 303), wherein the static feature includes a physical measure obtainable directly from the sensor and the dynamic feature is calculated based on a difference between image features extracted respectively from the images, the method further comprising calculating a first score by applying the first feature information to a first neural network (231 410, 915), extracting second feature information from the images (216, 303) and calculating a second score based on the extracted second feature information by implementing a second neural network (233, 940); determining whether the first score is in a first threshold range for an early decision that the biometric information is spoofed; in response to determining that the first score falls outside of the first threshold range: determining whether to fuse the first score with the second score; in response to determining to fuse the first score with the second score; determining a final score by fusing the first score with the second score and determining that the biometric information is spoofed based on the final score. receiving, from a sensor, first feature information including a static feature associated with biometric information of a user and a dynamic feature obtained based on images (216, 303) associated with the biometric information, as well as the images (216, 303), wherein the static feature includes a physical measure obtainable directly from the sensor and the dynamic feature is calculated based on a difference between image features extracted respectively from the images, the method further comprising calculating a first score by applying the first feature information to a first neural network (231 410, 915), extracting second feature information from the images (216, 303) and calculating a second score based on the extracted second feature information by implementing a second neural network (233, 940); determining whether the first score is in a first threshold range for an early decision that the biometric information is spoofed; in response to determining that the first score falls outside of the first threshold range: determining whether to fuse the first score with the second score; in response to determining to fuse the first score with the second score; determining a final score by fusing the first score with the second score and determining that the biometric information is spoofed based on the final score. determining whether to fuse the first score with the second score; in response to determining to fuse the first score with the second score; determining a final score by fusing the first score with the second score and determining that the biometric information is spoofed based on the final score. determining a final score by fusing the first score with the second score and determining that the biometric information is spoofed based on the final score.