A lot of real-world data is spread across multiple domains. Handling such data has been a
challenging task. Heterogeneous face biometrics has begun to receive attention in recent …

In this paper, we will present a novel framework of utilizing periocular region for age
invariant face recognition. To obtain age invariant features, we first perform preprocessing …

In this paper, we investigate a single-sample periocular-based alignment-robust face
recognition technique that is pose-tolerant under unconstrained face matching scenarios …

In this paper, we employ several subspace representations (principal component analysis,
unsupervised discriminant projection, kernel class-dependence feature analysis, and kernel …

In this work, we have undertaken the task of occlusion and low-resolution robust facial
gender classification. Inspired by the trainable attention model via deep architecture, and the …

Automatic face recognition in the wild still suffers from low-quality, low resolution, noisy, and
occluded input images that can severely impact identification accuracy. In this paper, we …

Biometrics has come a long way over the past decade in terms of technologies and devices
that are used to verify user identities. Three of the more well studied modalities in this field …

Linear subspace learning methods such as Fisher׳ s Linear Discriminant Analysis (LDA),
Unsupervised Discriminant Projection (UDP), and Locality Preserving Projections (LPP) …

Identifying a suspect wearing a mask (where only the suspect's periocular region is visible)
is one of the toughest real-world challenges in biometrics that exist. In this paper, we present …

In this work, we have proposed a single face image super-resolution approach based on
solo dictionary learning. The core idea of the proposed method is to recast the super …