Numerous behavioral or physiological biometric traits, including iris, signature, hand geometry, speech, palm print, face, etc. have been used to discriminate individuals in a …
A Attia, S Mazaa, Z Akhtar, Y Chahir - Multimedia Tools and Applications, 2022 - Springer
Biometric recognition systems are widely being used in several applications due to its distinctiveness and reliability. In recent years, hand-based person recognition has received …
LM Dinca, GP Hancke - IEEE Access, 2017 - ieeexplore.ieee.org
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 …
A Nigam, K Tiwari, P Gupta - Neurocomputing, 2016 - Elsevier
This paper proposes a finger-knuckle-print based authentication system by fusing multiple texture features. It contains new algorithms for extracting region of interest (ROI) with the …
Multibiometric recognition has become one of the most important solutions for enhancing overall personal recognition performance due to several inherent limitations of unimodal …
Y Chen, J Yang, C Wang, N Liu - Expert Systems with Applications, 2016 - Elsevier
Multimodal biometrics provides rich information in biometric recognition systems, thus a valid multimodal feature fusion framework and an efficient recognition algorithm are …
The impact of digital technology in biometrics is much more efficient at interpreting data than humans, which results in completely replacement of manual identification procedures in …
P Poonia, PK Ajmera, V Shende - Procedia Computer Science, 2020 - Elsevier
Palmprint recognition system is extensively deployed in a variety of applications, ranging from forensic to mobile phones. This paper proposed a non-invertible palmprint template …
Over the last decade, palm print recognition has emerged as the strongest technology for human authentication in many aspects. To carry out an effective recognition, this paper …