Impact of the lossy image compression on the biometric system accuracy: a case study of hand biometrics

2021 ◽  
Vol 14 (2) ◽  
pp. 133
Author(s):  
Abdelmalik Taleb Ahmed ◽  
Mouldi Bedda ◽  
Abdallah Meraoumia ◽  
Djamel Samai
Keyword(s):  
Image Compression ◽  
Biometric System ◽  
Hand Biometrics

scholarly journals Contactless Multi-biometric System Using Fingerprint and Palmprint Selfies

2020 ◽  
Vol 37 (6) ◽  
pp. 889-897
Author(s):  
Abderrahmane Herbadji ◽  
Noubeil Guermat ◽  
Lahcene Ziet ◽  
Zahid Akhtar ◽  
Mohamed Cheniti ◽  
...  
Keyword(s):  
Image Features ◽  
Human Hand ◽  
Biometric System ◽  
Person Identification ◽  
Score Level Fusion ◽  
Triangular Norms ◽  
Person Recognition ◽  
Local Ternary Patterns ◽  
Hand Biometrics ◽  
Fingerprint Database

Due to the COVID-19 pandemic, automated contactless person identification based on the human hand has become very vital and an appealing biometric trait. Since, people are expected to cover their faces with masks, and advised avoiding touching surfaces. It is well-known that usually contact-based hand biometrics suffer from issues like deformation due to uneven distribution of pressure or improper placement on sensor, and hygienic concerns. Whereas, to mitigate such problems, contactless imaging is expected to collect the hand biometrics information without any deformation and leading to higher person recognition accuracy; besides maintaining hygienic and pandemic concerns. Towards this aim, in this paper, an effective multi-biometric scheme for person authentication based on contactless fingerprint and palmprint selfies has been proposed. In this study, for simplicity and efficiency, three local descriptors, i.e., local phase quantization (LPQ), local Ternary patterns (LTP), and binarized statistical image features (BSIF), have been employed to extract salient features from contactless fingerprint and palmprint selfies. The score level fusion based multi-biometric system developed in this work combines the matching scores using two different fusion techniques, i.e., transformation based-rules like triangular norms and classifier based-rules like SVM. Experimental results on two publicly available databases (i.e., PolyU contactless to contact-based fingerprint database and IIT-Delhi touchless palmprint dataset) show that the proposed contactless multi-biometric selfie system can easily outperform uni-biometrics.

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.

A REVIEW OF IRIS RECOGNITION SYSTEM

2015 ◽  
Vol 77 (1) ◽  
Author(s):  
Arezou Banitalebi Dehkordi ◽  
Syed A. R. Abu-Bakar
Keyword(s):  
Feature Extraction ◽  
Image Compression ◽  
Quality Assessment ◽  
Noise Reduction ◽  
Iris Recognition ◽  
Image Acquisition ◽  
Recognition System ◽  
Biometric System ◽  
Large Database ◽  
Database Applications

Iris recognition system is an accurate biometric system. In recent years, iris recognition is developed to several active areas of research, such as; Image Acquisition, restoration, quality assessment, image compression, segmentation, noise reduction, normalization, feature extraction, iris code matching, searching large database, applications, evaluation, performance under varying condition and multibiometrics. This paper reviews a background of iris recognition and literature of recent proposed methods in different fields of iris recognition system from 2007 to 2015.

A Review on Contactless Hand Verification Systems

2021 ◽  
pp. 126-136
Author(s):  
Santa Maria Shithil ◽  
Mashiwat Tabassum Waishy ◽  
Lomat Haider Chowdhury
Keyword(s):  
Convenient Method ◽  
State Of The Art ◽  
The State ◽  
Biometric System ◽  
Individual Person ◽  
Biometric Systems ◽  
Hand Biometrics ◽  
Verification Systems ◽  
Biometric Information ◽  
Sophisticated Technology

Biometric system is gaining popularity increasingly since it provides the most sophisticated technology for authentication, verification, and identification. This technology can identify each individual person on the basis of their biometric information such as their face, hand features, signatures, DNA, or iris pattern and thus can impart a secure and convenient method for authentication purposes. Hand biometrics is one of the most widely used biometric systems. There are two approaches for capturing hand biometrics: contact-based and contactless. In this paper, we present a thorough review of the state of the art contactless hand verification systems. We also present the various modules of the general contactless hand verification system and analyze various hand biometrics features.

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