Mar 9, 2017 · This paper addresses this problem by proposing a new approach called sparse fingerprint classification algorithm (SFCA). In the training phase, ...
Abstract—Unconstrained face recognition is still an open problem as state-of-the-art algorithms have not yet reached high recognition performance in ...
The results demonstrate that SFCA is able to deal with a larger degree of variability in ambient lighting, pose, expression, occlusion, face size, ...
This paper addresses this problem by proposing a new approach called Sparse Fingerprint Classification Algorithm (SFCA). In the training phase, for each ...
Jul 1, 2017 · This paper addresses this problem by proposing a new approach called sparse fingerprint classification algorithm (SFCA). In the training phase, ...
Duration: 6:22
Posted: Jul 17, 2018
Posted: Jul 17, 2018
Face Recognition Using Sparse Fingerprint. Classification Algorithm. ABSTRACT: Unconstrained face recognition is still an open problem as state-of-the-art ...
People also ask
What algorithm is used for facial recognition?
What is the most accurate face recognition algorithm?
What is the Face ID algorithm?
What is the machine learning algorithm for face detection?
Face Recognition Using Sparse Representation Classifier - i-Scholar
www.i-scholar.in › article › view
Sparse representation classifier is deals with large degree of variations in lighting, person's movements and expressions. It also deals with different face ...
Aug 5, 2021 · The proposed method able to identify the face of a person using an associated fingerprint. In this paper, Bregman divergence regularization is ...
Oct 2, 2017 · Face Recognition Using Sparse Fingerprint Classification Algorithm. Abstract: Unconstrained face recognition is still an open problem as the ...