The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …

Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …

Despite the importance of fault diagnosis in refrigeration systems, the performance and
improvement of most existing diagnostic models are limited by their reliance on a single …

Multi-modal classification plays a vital role for the real-time applications since most of the
conventional models are independent of homogeneous features with single classifier. In …

To improve the speaker recognition rate, we propose a speaker recognition model based on
the fusion of different kinds of speech features. A new type of feature aggregation …

The traditional methods used for the identification of individuals such as personal
identification numbers (PINs), identification tags, etc., are vulnerable as they are easily …

Abstract Machine learning is integrated nowadays in many data-driven applications that
attempt to model the behavior of a system. Thus, the implementation of machine-learning …

Multibiometric systems have the potential to mitigate error rates and address certain inherent
weaknesses found in unimodal systems. This study introduces an innovative scheme for …

Automatic Teller Machine (ATM) offers rapid and user-friendly avenues to reach their bank
accounts and engage in financial operations. A crucial component of ATM security is the …

Biometric systems may be used to create a remote access model on devices, ensure
personal data protection, personalize and facilitate the access security. Biometric systems …