This paper proposes hybrid approaches based on both feature level and score level fusion
strategies to provide a robust recognition system against the distortions of individual …

Multimodal biometric systems aim to improve the recognition accuracy by minimizing the
limitations of unimodal systems. In this paper, different fusion schemes based on feature …

In many real-life usages, single modal biometric systems repeatedly face significant
restrictions due to sensitivity to noise, data quality, nonuniversality, and other factors …

Although face recognition technology has progressed substantially, its performance is still
not satisfactory due to the challenges of great variations in illumination, expression and …

This paper presents an intra-modal fusion environment to integrate multiple raw palm
images at low level. Fusion of palmprint instances is performed by wavelet transform and …

Biometric user authentication techniques for security and access control have evoked an
enormous interest by science, industry and society in the last two decades. But even the best …

The automatic person identification is a significant component in any security biometric
system because of the challenges and the significant number of the applications that require …

This paper presents a novel fusion strategy for personal identification using face and
palmprint biometrics. In the context of biometrics, three levels of information fusion schemes …

Biometrics refers to a scientific discipline which involves automatic methods for recognizing
people based on their physiological or behavioural characteristics. Biometric systems that …

Biometric systems based on a single source of information suffer from limitations such as the
lack of uniqueness, nonuniversality of the chosen biometric trait, noisy data and spoof …