scholarly journals A Study on the Development of Embedded Serial Multi-modal Biometrics Recognition System

2006 ◽  
Vol 16 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Joeng-Hoon Kim ◽  
Soon-Ryang Kwon
Keyword(s):  
Recognition System ◽  
Biometrics Recognition

scholarly journals Mathematical models and meanings by school and university students in a modelling task

2020 ◽  
pp. 67-83
Author(s):  
Susana Carreira ◽  
Ana Margarida Baioa ◽  
Lourdes Maria Werle de Almeida
Keyword(s):  
University Students ◽  
Recognition System ◽  
9Th Grade ◽  
Qualitative Nature ◽  
Hand Biometrics ◽  
Biometrics Recognition ◽  
The Relationship ◽  
Modelling Process ◽  
Modelling Task

This study involves two classes from different educational levels, namely 9th grade and university. Students in both contexts were given a modelling task that required the development of a hand biometrics recognition system, during which they performed experimentation and simulation. As aims of the study, we look for distinctions and commonalities between the models developed in the two classes and seek to know how simulation and experimentation influence students’ production of meaning. The theoretical framework comprises the relationship between the modelling process and the prototyping process and adopts Peirce’s pragmatic perspective on meaning. The research is of a qualitative nature, assuming the characteristics of a case study. The results reveal many commonalities between the modelling in the two contexts. Moreover, experimentation and simulation were relevant elements for the production of meaning by the students, which is endorsed by a pragmatic perspective on meaning.

scholarly journals Enhancing Fixed Size Palmprint Region of Interest (ROI) Extraction Algorithm for Personal Identification

2019 ◽  
Vol 8 (4) ◽  
pp. 6918-6923
Keyword(s):  
Region Of Interest ◽  
Recognition System ◽  
Small Region ◽  
Personal Identification ◽  
Fixed Size ◽  
Extraction Area ◽  
Extraction Region ◽  
Extraction Algorithm ◽  
Roi Extraction ◽  
Biometrics Recognition

Identification and verification are the fundamental process in biometrics recognition system. Research indicates that palmprint, as one of the biometric recognitions system is commonly used for human identification. It is because there are many features and information contained inside the palmprint that can be used in the identification process. However, only a small region of the palmprint can be extracted using the existing palmprint region of interest (ROI) extraction algorithms. This has become a problem for identification systems due to negligible and loss of important features which are located outside the ROI. Hence, it is a necessity to improve the palmprint ROI extraction algorithm whereby bigger palmprint ROI can be extracted using this algorithm. Therefore, a larger fixed size extraction algorithm for palmprint ROI is proposed where the extraction region is larger so that more important identification features can be captured inside these ROIs. The performance between proposed and existing extraction algorithms are tested based on two characteristics which are the palmprint ROI extraction area and the comparison of feature creases extracted in a palmprint ROI. The results show that 300x300 fixed size ROI is able to capture 13 out of 14 creases attributes for palmprint identification. This implies that the proposed extraction algorithm shows a promising method of extraction as compared to the existing algorithms.

scholarly journals Soft biometrics: a survey

2021 ◽  
Author(s):  
Bilal Hassan ◽  
Ebroul Izquierdo ◽  
Tomas Piatrik
Keyword(s):  
Recognition System ◽  
Data Sets ◽  
Research Directions ◽  
Soft Biometrics ◽  
Multi Scale ◽  
Person Following ◽  
Real World Applications ◽  
New Research ◽  
Biometrics Recognition ◽  
Level Fusion

AbstractThe field of biometrics research encompasses the need to associate an identity to an individual based on the persons physiological or behaviour traits. While the use of intrusive techniques such as retina scans and finger print identification has resulted in highly accurate systems, the scalability of such systems in real-world applications such as surveillance and border security has been limited. As a branch of biometrics research, the origin of soft biometrics could be traced back to need for non-intrusive solutions for extracting physiological traits of a person. Following high number of research outcomes reported in the literature on soft biometrics, this paper aims to consolidate the scope of soft biometrics research across four thematic schemes (i) a detailed review of soft biometrics research data sets, their annotation strategies and building a largest novel collection of soft traits; (ii) the assessment of metrics that affect the performance of soft biometrics system; (iii) a comparative analysis on feature and modality level fusion reported in the literature for enhancing the system performance; and (iv) a performance analysis of hybrid soft biometrics recognition system using multi-scale criterion. The paper also presents a detailed analysis on the global traits associated to person identity such as gender, age and ethnicity. The contribution of the paper is to provide a comprehensive review of scientific literature, identify open challenges and offer insights on new research directions in the filed.

Sign in / Sign up

Export Citation Format

Share Document