Non-Cooperative Facial Biometric Identification Systems

2011 ◽  
pp. 1259-1265
Author(s):  
Carlos M. Travieso González ◽  
Aythami Morales Moreno
Keyword(s):  
User Authentication ◽  
Biometric Identification ◽  
Identification System ◽  
Biometric Systems ◽  
Driver's License

The verification of identity is becoming a crucial factor in our hugely interconnected society. Questions such as “Is she really who she claims to be?”, “Is this person authorized to use this facility?” are routinely being posed in a variety of scenarios ranging from issuing a driver’s license to gaining entry into a country. The necessity for reliable user authentication techniques has increased in the wake of heightened concerns about security and rapid advancements in networking, communication, and mobility. Biometric systems, described as the science in order to recognize an individual based on his or her physical or behavioural traits, is beginning to get acceptance as a legitimate method in order to determine an individual’s identity. Nowadays, biometric systems have been deployed in various commercial, civilian, and forensic applications as a means of establishing identity. In particular, this work presents a non-cooperative identification system based on facial biometric.

scholarly journals Development of security systems using DNN and i & x-vector classifiers

2021 ◽  
Vol 4 (9(112)) ◽  
pp. 32-45
Author(s):  
Orken Mamyrbayev ◽  
Aizat Kydyrbekova ◽  
Keylan Alimhan ◽  
Dina Oralbekova ◽  
Bagashar Zhumazhanov ◽  
...  
Keyword(s):  
Information Systems ◽  
Biometric Identification ◽  
Identification System ◽  
Security Systems ◽  
User Identification ◽  
Verification Algorithm ◽  
Voice Identification ◽  
Biometric Systems ◽  
Function Blocks ◽  
Individual Voice

The widespread use of biometric systems entails increased interest from cybercriminals aimed at developing attacks to crack them. Thus, the development of biometric identification systems must be carried out taking into account protection against these attacks. The development of new methods and algorithms for identification based on the presentation of randomly generated key features from the biometric base of user standards will help to minimize the disadvantages of the above methods of biometric identification of users. We present an implementation of a security system based on voice identification as an access control key and a verification algorithm developed using MATLAB function blocks that can authenticate a person's identity by his or her voice. Our research has shown an accuracy of 90 % for this user identification system for individual voice characteristics. It has been experimentally proven that traditional MFCCs using DNN and i and x-vector classifiers can achieve good results. The paper considers and analyzes the most well-known approaches from the literature to the problem of user identification by voice: dynamic programming methods, vector quantization, mixtures of Gaussian processes, hidden Markov model. The developed software package for biometric identification of users by voice and the method of forming the user's voice standards implemented in the complex allows reducing the number of errors in identifying users of information systems by voice by an average of 1.5 times. Our proposed system better defines voice recognition in terms of accuracy, security and complexity. The application of the results obtained will improve the security of the identification process in information systems from various attacks.

scholarly journals Multimodal Biometric Authentication for Smartphones

2021 ◽  
Vol 9 (12) ◽  
pp. 1559-1568
Author(s):  
Mrunal Pathak
Keyword(s):  
Multimodal Fusion ◽  
Biometric Identification ◽  
Identification System ◽  
Sensitive Information ◽  
Biometric Authentication ◽  
Biometric System ◽  
Multimodal Biometric System ◽  
Biometric Systems ◽  
Real Time Applications ◽  
Eye Recognition

Abstract: Smartphones have become a crucial way of storing sensitive information; therefore, the user's privacy needs to be highly secured. This can be accomplished by employing the most reliable and accurate biometric identification system available currently which is, Eye recognition. However, the unimodal eye biometric system is not able to qualify the level of acceptability, speed, and reliability needed. There are other limitations such as constrained authentication in real time applications due to noise in sensed data, spoof attacks, data quality, lack of distinctiveness, restricted amount of freedom, lack of universality and other factors. Therefore, multimodal biometric systems have come into existence in order to increase security as well as to achieve better performance.[1] This paper provides an overview of different multimodal biometric (multibiometric) systems for smartphones being employed till now and also proposes a multimodal biometric system which can possibly overcome the limitations of the current biometric systems. Keywords: Biometrics, Unimodal, Multimodal, Fusion, Multibiometric Systems

Personalized Mobile eHealth Services for Secure User Access Through a Multi Feature Biometric Framework

2019 ◽  
Vol 8 (1) ◽  
pp. 40-51 ◽  
Author(s):  
Georgios C. Manikis ◽  
Marios Spanakis ◽  
Emmanouil G. Spanakis
Keyword(s):  
User Authentication ◽  
Medical Personnel ◽  
Biometric Identification ◽  
Identification System ◽  
Biometric System ◽  
Privacy And Security ◽  
Workforce Management ◽  
User Access ◽  
Visual Characteristics ◽  
Facial Images

Humans have various features that differentiates one person from another which can be used to identify an individual for security purposes. These biometrics can authenticate or verify a person's identity and can be sorted in two classes, physiological and behavioural. In this article, the authors present their results of experimentation on publicly available facial images and the efficiency of a prototype version of SpeechXRays, a multi-modal biometric system that uses audio-visual characteristics for user authentication in eHealth platforms. Using the privacy and security mechanism provided, based on audio and video biometrics, medical personnel are able to be verified and subsequently identified for two different eHealth applications. These verified persons are then able to access control, identification, workforce management or patient record storage. In this work, the authors argue how a biometric identification system can greatly benefit healthcare, due to the increased accuracy of identification procedures.

Verisoft – secure biometric identification system

2008 ◽  
pp. 83-97
Author(s):  
Georg Rock ◽  
Gunter Lassmann ◽  
Mathias Schwan ◽  
Lassaad Cheikhrouhou
Keyword(s):  
Biometric Identification ◽  
Identification System

Biometric Identification System Using Neuro and Fuzzy Computational Approaches

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.

scholarly journals Biometrics in cyber defense

2020 ◽  
Vol 309 ◽  
pp. 02003
Author(s):  
Gabriela Mogos
Keyword(s):  
Literature Review ◽  
Iris Recognition ◽  
User Authentication ◽  
Smart Devices ◽  
Biometric Identification ◽  
Cyber Defense ◽  
Security Risks ◽  
Strong Case ◽  
Current Practices

Biometric identification is an up and coming authentication method. The growing complexity of and overlap between smart devices, usability patterns and security risks make a strong case for securer and safer user authentication. This paper aims to offer a broad literature review on iris recognition and biometric cryptography to better understand current practices, propose possible future enhancements and anticipate possible future usability and security developments.

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