scholarly journals Challenges and Research Directions for Adaptive Biometric Recognition Systems

2009 ◽  
pp. 753-764 ◽  
Author(s):  
Norman Poh ◽  
Rita Wong ◽  
Josef Kittler ◽  
Fabio Roli
Keyword(s):  
Biometric Recognition ◽  
Research Directions ◽  
Recognition Systems

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.

scholarly journals A Survey on Arabic Handwritten Script Recognition Systems

2021 ◽  
Vol 11 (2) ◽  
pp. 1-17
Author(s):  
Soumia Djaghbellou ◽  
Abderraouf Bouziane ◽  
Abdelouahab Attia ◽  
Zahid Akhtar
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Research Field ◽  
Research Directions ◽  
Optical Character ◽  
On Line ◽  
Recognition Systems ◽  
Active Research ◽  
Handwritten Arabic ◽  
Open Issues

The optical character recognition (OCR) system is still an active research field in pattern recognition. Such systems can identify, recognize and distinguish electronically between characters and texts, printed or handwritten. They can also do a transformation of such data type into machine-processable form to facilitate the interaction between user and machine in various applications. In this paper, we present the global structure of an OCR system, with its types (on-line and off-line), categories (printed and handwritten) and its main steps. We also focused on off-line handwritten Arabic character recognition and provided a list of the main datasets publicly available. This paper also presents a survey of the works that have been carried out over recent years. Finally, some open issues and potential research directions have been highlighted

Multimodal Anti-spoofing in Biometric Recognition Systems

2014 ◽  
pp. 165-184 ◽  
Author(s):  
Giorgio Fumera ◽  
Gian Luca Marcialis ◽  
Battista Biggio ◽  
Fabio Roli ◽  
Stephanie Caswell Schuckers
Keyword(s):  
Biometric Recognition ◽  
Recognition Systems

Biometric recognition systems: introduction

2005 ◽  
Vol 44 (5) ◽  
pp. 635 ◽  
Author(s):  
Mohammad S. Alam ◽  
Mohammad A. Karim
Keyword(s):  
Biometric Recognition ◽  
Recognition Systems

scholarly journals A Survey of Wearable Biometric Recognition Systems

2016 ◽  
Vol 49 (3) ◽  
pp. 1-35 ◽  
Author(s):  
Jorge Blasco ◽  
Thomas M. Chen ◽  
Juan Tapiador ◽  
Pedro Peris-Lopez
Keyword(s):  
Biometric Recognition ◽  
Recognition Systems
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