A novel biometric identification system based on fingertip electrocardiogram and speech signals

Method for Measuring Distortions in Speech Signals during Transmission over a Communication Channel to a Biometric Identification System

Measurement Techniques ◽

10.1007/s11018-021-01864-x ◽

2021 ◽

Vol 63 (11) ◽

pp. 917-925 ◽

Cited By ~ 1

Author(s):

V. V. Savchenko ◽

A. V. Savchenko

Keyword(s):

Communication Channel ◽

Biometric Identification ◽

Identification System ◽

Speech Signals

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Multimodal biometric identification system for mobile robots combining human metrology to face recognition and speaker identification

The 23rd IEEE International Symposium on Robot and Human Interactive Communication ◽

10.1109/roman.2014.6926273 ◽

2014 ◽

Cited By ~ 1

Author(s):

Simon Ouellet ◽

Francois Grondin ◽

Francis Leconte ◽

Francois Michaud

Keyword(s):

Face Recognition ◽

Mobile Robots ◽

Speaker Identification ◽

Biometric Identification ◽

Identification System

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Interactive Biometric Identification System Based on the Keystroke Dynamic

Biometric Identification Technologies Based on Modern Data Mining Methods ◽

10.1007/978-3-030-48378-4_3 ◽

2020 ◽

pp. 39-58

Author(s):

Stepan Bilan ◽

Mykola Bilan ◽

Andrii Bilan

Keyword(s):

Biometric Identification ◽

Identification System ◽

Keystroke Dynamic

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Verisoft – secure biometric identification system

Digital Excellence ◽

10.1007/978-3-540-72621-0_8 ◽

2008 ◽

pp. 83-97

Author(s):

Georg Rock ◽

Gunter Lassmann ◽

Mathias Schwan ◽

Lassaad Cheikhrouhou

Keyword(s):

Biometric Identification ◽

Identification System

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Biometric Identification System Using Neuro and Fuzzy Computational Approaches

Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-4666-8654-0.ch016 ◽

2016 ◽

pp. 335-366

Author(s):

Tripti Rani Borah ◽

Kandarpa Kumar Sarma ◽

Pranhari Talukdar

Keyword(s):

Fuzzy System ◽

Fuzzy Inference ◽

Biometric Identification ◽

Identification System ◽

Inference System ◽

Computational Approaches ◽

Neuro Fuzzy ◽

Actual Design ◽

Authentication System ◽

Numeric Data

In all authentication systems, biometric samples are regarded to be the most reliable one. Biometric samples like fingerprint, retina etc. is unique. Most commonly available biometric system prefers these samples as reliable inputs. In a biometric authentication system, the design of decision support system is critical and it determines success or failure. Here, we propose such a system based on neuro and fuzzy system. Neuro systems formulated using Artificial Neural Network learn from numeric data while fuzzy based approaches can track finite variations in the environment. Thus NFS systems formed using ANN and fuzzy system demonstrate adaptive, numeric and qualitative processing based learning. These attributes have motivated the formulation of an adaptive neuro fuzzy inference system which is used as a DSS of a biometric authenticable system. The experimental results show that the system is reliable and can be considered to be a part of an actual design.

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