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

This paper proposes a novel methodology for individuals identification based on
convolutional neural network (CNN) and machine learning (ML) algorithms. The technique …

Providing security in biometrics is the major challenging task in the current situation. A lot of
research work is going on in this area. Security can be more tightened by using complex …

The objective of this work is to develop a multimodal biometric system using speech,
signature and handwriting information. Unimodal biometric person authentication systems …

Nowadays, person recognition has received significant attention due to broad applications
in the security system. However, most person recognition systems are implemented based …

Multimodal Biometric system can be defined as one that integrates the result obtained from
more than one human biometric feature for the purpose of identification. For remote …

Biometric recognition has been an extensively researched field in recent years due to the
growth of its applications in daily activities. State of the art work in biometrics proposes the …

Biometric identification technology has become increasingly common in our daily lives as
the requirement for information protection and control legislation has grown around the …

Biometrics is an active area of research because of the increase in need for accurate person
identification in numerous applications ranging from entertainment to security. Unimodal and …

To manage the security issues in places where access to a place, device is restricted,
biometrics are used for authen-tication. Palm and signature are the most reliable …