The visible and near-infrared images fusion aims at utilizing their spectrum characteristics to
enhance visibility. However, the current visible and near-infrared fusion algorithms cannot …

We address the use of selfie ocular images captured with smartphones to estimate age and
gender. Partial face occlusion has become an issue due to the mandatory use of face …

In this study, we obtain a sex prediction algorithm based on CNN in two ways-building a red
Convolutional Neural Network (CNN) model from scratch and via transfer learning. We built …

Soft-Biometric information, such as gender, has great potential for applications in security,
forensics and marketing. Unfortunately, there are few gender-labelled databases available …

In the past few years, accuracy in determining gender from iris images has increased
significantly, approaching levels that make novel applications of this biometric technology …

Selfie soft biometrics has great potential for various applications ranging from marketing,
security, and online banking. However, it faces many challenges since there is limited …

Automatic gender determination received many attentions in the recent years due to its
potential applications in e-commerce and demographic data collection. Face and voice are …

Soft biometric information such as gender can contribute to many applications like as
identification and security. This paper explores the use of a Binary Statistical Features (BSIF) …

Recent research has explored the possibility of automatically deducing information, such as
gender, age, and race, of an individual from their biometric data. While the face modality has …

Gender classification on normalized iris images has been previously attempted with varying
degrees of success. In these previous studies, it has been shown that occlusion masks may …