At present, the fusion of different unimodal biometrics has attracted increasing attention from
researchers, who are dedicated to the practical application of biometrics. In this paper, we …

Falls represent a major problem for the elderly people aged 60 or above. There are many
monitoring systems which are currently available to detect the fall. However, there is a great …

Blockchain technology has been commonly used in the last years in numerous fields, such
as transactions documenting and monitoring real assets (house, cash) or intangible assets …

Biometric system has been widely adopted for human verification or identification, so
inherently it requires the characteristics like high security, accuracy and acceptability …

In this paper, a precise multimodal eye blink recognition method using feature level fusion
(M m ERM FLF) is proposed. A new feature: eye-eyebrow facet ratio (EE B FR)(formed by …

In this research, we present a new way of thinking using a Convolutional Neural Network
(CNN) for palm-vein biometric authentication. In contrary to fingerprint and face, palm vein …

Single biometric modalities like facial features and vein patterns despite being reliable
characteristics show limitations that restrict them from offering high performance and …

The biometric recognition system is a highly precise human identification system as per
Federal Bureau of Investigation (FBI). Latent fingerprint biometrics are an efficient human …

Person identification using biometric features is an effective method for recognizing and
authenticating the identity of a person. Multimodal biometric systems combine different …

Ear biometrics is one of the primary biometrics that is definitely standing out. Ear recognition
enjoys special benefits and can make distinguishing proof safer and dependable along with …