Human recognition with biometrics is a rapidly emerging area of computer vision. Compared
to other well-known biometric features such as the face, fingerprint, iris, and palmprint, the …

Large-scale animal husbandry currently serves as the primary source of protein and
essential nutrients for human consumption. Ensuring adequate access to animal weight has …

Deepfake is utilized in synthetic media to generate fake visual and audio content based on a
person's existing media. The deepfake replaces a person's face and voice with fake media …

This paper presents ear recognition models constructed with Deep Residual Networks
(ResNet) of various depths. Due to relatively limited amounts of ear images we propose …

In this paper, we propose an unsupervised lightweight network with a single layer for ear
print recognition. We refer to this method by MDFNet because it relies on gradient …

Type-2 fuzzy set is extensively studied in the past due to its superiority over type-1 fuzzy set,
especially while dealing with data with higher uncertainty and higher association amongst …

This paper proposes a non-interactive end-to-end solution for secure fusion and matching of
biometric templates using fully homomorphic encryption (FHE). Given a pair of encrypted …

Multimodal emotion recognition of videos of human oration, commonly called opinion
videos, has a wide scope of applications across all domains. Here, the speakers express …

Identity management describes a problem by providing the authorized owners with safe and
simple access to information and solutions for specific identification processes. The …

Biometric technology is fast gaining pace as a veritable developmental tool. So far, biometric
procedures have been predominantly used to ensure identity and ear recognition …