[PDF][PDF] Multimodal biometrics of fingerprint and signature recognition using multi-level feature fusion and deep learning techniques

AB Channegowda, HN Prakash - Indones. J. Electr. Eng. Comput …, 2021 - academia.edu
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 …

Efficient multimodal biometric recognition for secure authentication based on deep learning approach

V Rajasekar, M Saracevic, M Hassaballah… - … Journal on Artificial …, 2023 - World Scientific
Biometric identification technology has become increasingly common in our daily lives as
the requirement for information protection and control legislation has grown around the …

Deep feature fusion of fingerprint and online signature for multimodal biometrics

M Leghari, S Memon, LD Dhomeja, AH Jalbani… - Computers, 2021 - mdpi.com
The extensive research in the field of multimodal biometrics by the research community and
the advent of modern technology has compelled the use of multimodal biometrics in real life …

Deep learning approach for multimodal biometric recognition system based on fusion of iris, fingerprint and hand written signature traits

AK Yadav - Turkish Journal of Computer and Mathematics …, 2021 - search.proquest.com
With the increasing demand for the Information security and security regulations all over the
world, biometric recognition technology has been widely used in our everyday life. In this …

Analysis of decision level fusion in multimodal biometrics using IRIS and fingerprint

SN Garg, R Vig, S Gupta - 3rd International Conference on …, 2016 - ieeexplore.ieee.org
Biometrics is the most advance technology for identifying any person. It is an authentication
technique which place confidence in measurable individual and physiological …

[PDF][PDF] Multimodal biometric face and fingerprint recognition using neural network

PK Nayak, D Narayan - International Journal of Engineering, 2012 - academia.edu
This paper presents multimodal biometric face and fingerprint recognition using neural
network. Multimodal has great demands to overcome the issue involved in single trait …

Enhanced multimodal biometric recognition systems based on deep learning and traditional methods in smart environments

S A. El_Rahman, AS Alluhaidan - Plos one, 2024 - journals.plos.org
In the field of data security, biometric security is a significant emerging concern. The
multimodal biometrics system with enhanced accuracy and detection rate for smart …

Deep belief network-based hybrid model for multimodal biometric system for futuristic security applications

M Vijay, G Indumathi - Journal of Information Security and Applications, 2021 - Elsevier
Biometrics is the technology to identify humans uniquely based on face, iris, and fingerprints,
etc. Biometric authentication allows the person recognition automatically on the basis of …

Deep learning approach for multimodal biometric recognition system based on fusion of iris, face, and finger vein traits

N Alay, HH Al-Baity - Sensors, 2020 - mdpi.com
With the increasing demand for information security and security regulations all over the
world, biometric recognition technology has been widely used in our everyday life. In this …

[PDF][PDF] A multimodal biometric identification system based on cascade advanced of fingerprint, fingervein and face images

RA El mehdi Cherrat… - Indonesian Journal of …, 2020 - pdfs.semanticscholar.org
In this paper, we present a multimodal biometric recognition system that combines
fingerprint, fingervein and face images based on cascade advanced and decision level …