What is liveness detection?
Liveness detection for face recognition in biometrics is the ability of a computer system to detect if the person in front of the camera is alive and real .
Read moreWhy is liveness detected?
Why Liveness Detection? Liveness Detection is needed to secure biometric authentication systems from fraud . For instance, a fraudster could use a photo, video or mask to attack a facial recognition algorithm and get unauthorized access to accounts or data.
Read moreHow do you integrate ML with Flutter?
Machine Learning in Flutter
Read moreWhich CNN model is best for face recognition?
The best accuracy was gotten using ResNet network (29 convolutional layers pretrained model) , and it will be the model that was chosen to work with as it was able to detect all faces correctly in our testing dataset.
Read moreWhat is the best face detection algorithm?
In terms of speed, HoG seems to be the fastest algorithm, followed by Haar Cascade classifier and CNNs . However, CNNs in Dlib tend to be the most accurate algorithm. HoG perform pretty well but have some issues identifying small faces. HaarCascade Classifiers perform around as good as HoG overall.
Read moreWhat kind of learning algorithm is required for facial recognition?
Facial detection via the Viola-Jones algorithm is a com- mon method used due to its high detection rate and fast pro- cessing speed. The algorithm can be summed up in four steps: feature selection, feature evaluation, feature learning to create a classifier, and cascading classifiers.
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