In this study, we present a fusion model for emotion recognition based on visual data. The
proposed model uses video information as its input and generates emotion labels for each …

Ear based identity recognition subject to uncontrolled conditions such as illumination
changes, pose variation, low contrast, partial occlusion and noise, is an active research area …

Glaucoma is an eye disease that damages the optic nerve which connects the eye to the
brain. When the fluid pressure inside the eye (intraocular pressure) increases, the optic …

Achieving higher recognition performance in uncontrolled scenarios is a key issue for ear
biometric systems. It is almost difficult to generate all discriminative features by using a …

Local gradient feature descriptors have been proposed to calculate the invariant feature
vector. These local gradient methods are very fast to compute the feature vector and …

Multimodal biometric systems are recently gaining considerable attention for human identity
recognition in uncontrolled scenarios. This chapter presents an improved multimodal …

Breast cancer (BCa) is a leading cause of death in the female population across the globe.
Approximately 2.3 million new BCa cases are recorded globally in females, overtaking lung …

This work intends to solve the problem that the current artistic typeface generation methods
rely too much on manual intervention, lack novelty, and the single font local feature and the …

Facial Emotion detection (FER) is primarily used to assess human emotion to meet the
demands of several real-time applications, including emotion detection, computer–human …

In this paper, we propose an improved multimodal ear and profile face biometrics for human
identity recognition under uncontrolled conditions such as illumination changes, pose …