scholarly journals BIOMETRIC FEATURES IN PERSON RECOGNITION SYSTEMS

2010 ◽  
Vol 2 (1) ◽  
pp. 23-26
Author(s):  
Edgaras Ivanovas
Keyword(s):  
Research Effort ◽  
High Accuracy ◽  
Border Crossing ◽  
Biometric Recognition ◽  
Person Recognition ◽  
Biometric Characteristic ◽  
Recognition Systems ◽  
Characteristic Features ◽  
User Friendly ◽  
Biometric Features

Lately a lot of research effort is devoted for recognition of a human being using his biometric characteristics. Biometric recognition systems are used in various applications, e. g., identification for state border crossing or firearm, which allows only enrolled persons to use it. In this paper biometric characteristics and their properties are reviewed. Development of high accuracy system requires distinctive and permanent characteristics, whereas development of user friendly system requires collectable and acceptable characteristics. It is showed that properties of biometric characteristics do not influence research effort significantly. Properties of biometric characteristic features and their influence are discussed.

Multispectral Palmprint Recognition: A Survey and Comparative Study

2019 ◽  
Vol 28 (07) ◽  
pp. 1950107 ◽  
Author(s):  
Yassir Aberni ◽  
Larbi Boubchir ◽  
Boubaker Daachi
Keyword(s):  
Comparative Study ◽  
Feature Fusion ◽  
State Of The Art ◽  
Palmprint Recognition ◽  
Electromagnetic Spectrum ◽  
Multispectral Images ◽  
Biometric Recognition ◽  
Person Recognition ◽  
Recognition Systems ◽  
The Rich

Multispectral palmprint recognition has been investigated for many problems and applications over the last decade. It has become one of the most well-known biometric recognition systems. Its success is due to the rich features that can be extracted and exploited from the multispectral images of palmprint captured within specific wavelength ranges across the electromagnetic spectrum. This paper provides an overview of recent state-of-the-art multispectral palmprint approaches for person recognition. The approaches surveyed are discussed by describing, in particular, their feature extraction, feature fusion, matching and decision algorithms. Finally, a comparative study to evaluate their performances for both verification and identification modes is addressed.

Real Time Person Recognition and Attendance Marking Using Holistic Based Approach

2017 ◽  
Vol 7 (7) ◽  
pp. 302
Author(s):  
Reshma P ◽  
Muneer VK ◽  
Muhammed Ilyas P
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
High Accuracy ◽  
Efficient Technique ◽  
Human Face ◽  
Traditional Methods ◽  
Person Recognition ◽  
The Face

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.

IO/EAM: An Input-Output Economic Assessment Model

1984 ◽  
Vol 16 (2) ◽  
pp. 145-150 ◽  
Author(s):  
Jeffrey L. Jordan ◽  
Rusty Brooks
Keyword(s):  
Research Effort ◽  
Economic Assessment ◽  
Assessment Model ◽  
Input Output ◽  
County Extension Agents ◽  
University Of Georgia ◽  
Microcomputer Software ◽  
The University ◽  
User Friendly ◽  
The Impact

AbstractThis paper describes a microcomputer software package, IO/EAM: An Input-Output Economic Assessment Model, which was developed at the University of Georgia through a joint extension-research effort. The package is a menudriven, user friendly program that is designed to be used by county extension agents, researchers, and other extension personnel to estimate the economic impact of changes in county economies. The program employs an input-output model that provides users with a locally based, easily updated source of economic intelligence. Use of input-output techniques allows users to estimate the impact of changes in county economies on an industry-by-industry basis and to account for the interdependencies among these industries in a county.

scholarly journals The Microbe Directory: An annotated, searchable inventory of microbes’ characteristics

2018 ◽  
Vol 2 ◽  
pp. 3 ◽  
Author(s):  
Heba Shaaban ◽  
David A. Westfall ◽  
Rawhi Mohammad ◽  
David Danko ◽  
Daniela Bezdan ◽  
...  
Keyword(s):  
Biofilm Formation ◽  
Large Scale ◽  
Research Effort ◽  
Gram Stain ◽  
Web Interface ◽  
Ongoing Effort ◽  
Student Researchers ◽  
User Friendly ◽  
Optimal Ph ◽  
Online Web

The Microbe Directory is a collective research effort to profile and annotate more than 7,500 unique microbial species from the MetaPhlAn2 database that includes bacteria, archaea, viruses, fungi, and protozoa. By collecting and summarizing data on various microbes’ characteristics, the project comprises a database that can be used downstream of large-scale metagenomic taxonomic analyses, allowing one to interpret and explore their taxonomic classifications to have a deeper understanding of the microbial ecosystem they are studying. Such characteristics include, but are not limited to: optimal pH, optimal temperature, Gram stain, biofilm-formation, spore-formation, antimicrobial resistance, and COGEM class risk rating. The database has been manually curated by trained student-researchers from Weill Cornell Medicine and CUNY—Hunter College, and its analysis remains an ongoing effort with open-source capabilities so others can contribute. Available in SQL, JSON, and CSV (i.e. Excel) formats, the Microbe Directory can be queried for the aforementioned parameters by a microorganism’s taxonomy. In addition to the raw database, The Microbe Directory has an online counterpart (https://microbe.directory/) that provides a user-friendly interface for storage, retrieval, and analysis into which other microbial database projects could be incorporated. The Microbe Directory was primarily designed to serve as a resource for researchers conducting metagenomic analyses, but its online web interface should also prove useful to any individual who wishes to learn more about any particular microbe.

Human-Based Models for Ambient Intelligence Environments

2011 ◽  
pp. 1-17 ◽  
Author(s):  
Giovanni Acampora ◽  
Vincenzo Loia ◽  
Michele Nappi ◽  
Stefano Ricciardi
Keyword(s):  
Spatial Distribution ◽  
Fuzzy Control ◽  
Ambient Intelligence ◽  
Contextual Information ◽  
Agent Based ◽  
Key Technologies ◽  
Concurrent Computation ◽  
Critical Issues ◽  
User Friendly ◽  
Biometric Features

Ambient Intelligence gathers best results from three key technologies, Ubiquitous Computing, Ubiquitous Communication, and Intelligent User Friendly Interfaces. The functional and spatial distribution of tasks is a natural thrust to employ multiagent paradigm to design and implement AmI environments. Two critical issues, common in most of applications, are (1) how to detect in a general and efficient way context from sensors and (2) how to process contextual information in order to improve the functionality of services. Here we describe an agent-based ambient intelligence architecture able to deliver services on the basis of physical and emotional user status captured from a set of biometric features. Abstract representation and management is achieved thanks to two markup languages, H2ML and FML, able to model behavioral as well as fuzzy control activities and to exploit distribution and concurrent computation in order to gain real-time performances.

scholarly journals Unobtrusive Behavioral and Activity-Related Multimodal Biometrics: The ACTIBIO Authentication Concept

2011 ◽  
Vol 11 ◽  
pp. 503-519 ◽  
Author(s):  
A. Drosou ◽  
D. Ioannidis ◽  
K. Moustakas ◽  
D. Tzovaras
Keyword(s):  
State Of The Art ◽  
Wide Spectrum ◽  
Gait Recognition ◽  
Biometric Recognition ◽  
Multimodal Biometrics ◽  
Physiological Profile ◽  
Security Authentication ◽  
Recognition Systems ◽  
Real Scenario ◽  
New Algorithms

Unobtrusive Authentication Using ACTIvity-Related and Soft BIOmetrics (ACTIBIO) is an EU Specific Targeted Research Project (STREP) where new types of biometrics are combined with state-of-the-art unobtrusive technologies in order to enhance security in a wide spectrum of applications. The project aims to develop a modular, robust, multimodal biometrics security authentication and monitoring system, which uses a biodynamic physiological profile, unique for each individual, and advancements of the state of the art in unobtrusive behavioral and other biometrics, such as face, gait recognition, and seat-based anthropometrics. Several shortcomings of existing biometric recognition systems are addressed within this project, which have helped in improving existing sensors, in developing new algorithms, and in designing applications, towards creating new, unobtrusive, biometric authentication procedures in security-sensitive, Ambient Intelligence environments. This paper presents the concept of the ACTIBIO project and describes its unobtrusive authentication demonstrator in a real scenario by focusing on the vision-based biometric recognition modalities.

Sign in / Sign up

Export Citation Format

Share Document