scholarly journals Hand Biometric Information Recognition System of Mobile Phone Image for Mobile Security

2014 ◽  
Vol 12 (4) ◽  
pp. 319-326 ◽  
Author(s):  
Kyungho Hong ◽  
Eunhwa Jung
Keyword(s):  
Mobile Phone ◽  
Recognition System ◽  
Mobile Security ◽  
Information Recognition ◽  
Biometric Information

AUTHENTICATION OF FINGERPRINT BIOMETRICS ACQUIRED USING A CELLPHONE CAMERA: A REVIEW

2013 ◽  
Vol 11 (05) ◽  
pp. 1350033 ◽  
Author(s):  
MOHAMMED S. KHALIL ◽  
FAJRI KURNIAWAN ◽  
KASHIF SALEEM
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
High Performance ◽  
Personal Information ◽  
Current Trend ◽  
Recognition System ◽  
Fingerprint Recognition ◽  
Fingerprint Biometrics ◽  
Smart Mobile Phone ◽  
Smart Mobile

Over the past decade, there have been dramatic increases in the usage of mobile phones in the world. Currently available smart mobile phones are capable of storing enormous amounts of personal information/data. The smart mobile phone is also capable of connecting to other devices, with the help of different applications. Consequently, with these connections comes the requirement of security to protect personal information. Nowadays, in many applications, a biometric fingerprint recognition system has been embedded as a primary security measure. To enable a biometric fingerprint recognition system in smart mobile phones, without any additional costs, a built-in high performance camera can be utilized. The camera can capture the fingerprint image and generate biometric traits that qualify the biometric fingerprint authentication approach. However, the images acquired by a mobile phone are entirely different from the images obtained by dedicated fingerprint sensors. In this paper, we present the current trend in biometric fingerprint authentication techniques using mobile phones and explore some of the future possibilities in this field.

Awareness, Knowledge, and Ability of Mobile Security Among Young Mobile Phone Users

2021 ◽  
pp. 517-526
Author(s):  
River Yan
Keyword(s):  
Mobile Phone ◽  
Empirical Evidence ◽  
Mobile Phones ◽  
Research Literature ◽  
Mobile Security ◽  
Security Issues

The research literature on awareness, knowledge, and ability of mobile security of young mobile phone users was reviewed in this article. The existing literature suggests that young mobile phone users are usually not aware of potential mobile security issues when using a mobile phone. Young mobile phone users are often found to lack the knowledge to detect mobile security problems and to defend themselves in the mobile world. Empirical evidence also exists in which some users do not have the mobile security ability to safely use their mobile phones. Overall, it is vital that young users improve their awareness, knowledge, and ability of mobile security so that they can effectively and enjoyably use their mobile phones.

An Immune Systems Approach for Classifying Mobile Phone Usage

2011 ◽  
pp. 266-276
Author(s):  
Hanny Yulius Limanto ◽  
Tay Joc Cing ◽  
Andrew Watkins
Keyword(s):  
Mobile Phone ◽  
Mobile Communications ◽  
Systems Approach ◽  
New Technology ◽  
Recognition System ◽  
Current Profile ◽  
Human Immune System ◽  
Usage Patterns ◽  
Mobile Phone Usage ◽  
Parameter Values

With the recent introduction of third generation (3G) technology in the field of mobile communications, mobile phone service providers will have to find an effective strategy to market this new technology. One approach is to analyze the current profile of existing 3G subscribers to discover common patterns in their usage of mobile phones. With these usage patterns, the service provider can effectively target certain classes of customers who are more likely to purchase their subscription plans. To discover these patterns, we use a novel algorithm called Artificial Immune Recognition System (AIRS) that is based on the specificity of the human immune system. In our experiment, the algorithm performs well, achieving an accuracy rate in the range of 80% to 90%, depending on the set of parameter values used.

scholarly journals Performance Analysis of Target Information Recognition System for Agricultural Robots

2021 ◽  
Vol 12 (2) ◽  
pp. 49-60
Author(s):  
Yun Ji ◽  
Rajeev Kumar ◽  
Daljeet Singh ◽  
Maninder Singh
Keyword(s):  
Decision Making ◽  
Production Efficiency ◽  
Vision System ◽  
Recognition Rate ◽  
Robot Vision ◽  
Recognition System ◽  
Economic Benefits ◽  
Prototype System ◽  
Target Information ◽  
Information Recognition

In this paper, an agricultural robot vision system is proposed for two typical environments—farmland and orchard—combined with weeding between crops. The system includes orchard production monitoring and prediction tasks, the target information recognition approach, and visual servo decision making. The results obtained from the proposed system show that using the region combination features of image 2D histogram as the decision-making basis, the accurate and rapid indirect identification and positioning of crop seedlings can be accomplished while skipping the complex process of accurately identifying crops and weeds. The algorithm performs reasonably good as the time of target recognition in the prototype system is found to be less than 16 ms, and the average accurate recognition rate of 97.43% is achieved. The benefits of the proposed system are the continuous improvement of the quality of agricultural products, the rise of production efficiency, and the increase of economic benefits.

scholarly journals Agricultural Transfer Labor Wage Platform Based on Image Content Feature Retrieval and Internet of Things

2021 ◽  
Author(s):  
Ying Wu ◽  
Jikun Liu
Keyword(s):  
Feature Recognition ◽  
Positional Information ◽  
Recognition System ◽  
Accurate Information ◽  
New Era ◽  
Testing Experiment ◽  
Global Vector ◽  
Information Recognition ◽  
Content Feature

Abstract Quick and accurate information identification of agricultural transfer labor wage platform is an essential function of labor intelligent management in the new era. Based on the content feature retrieval, this study constructs an artificial intelligence identity information recognition system and links the system to the salary platform. Simultaneously, this study uses the feature recognition to extract database information and realize intelligent salary assessment. In addition, the deep learning features used in this study are based on the positional information of the sift features and are finally calculated by the activation map to obtain a global vector of an image. Finally, this study design testing experiment to verify the performance of the algorithm. Through the output of the feature picture, it can be seen that the research algorithm has certain effects and can be used as a follow-up system practice.

Biometric Authentication

2011 ◽  
pp. 346-354 ◽  
Author(s):  
Julien Mahier ◽  
Marc Pasquet ◽  
Christophe Rosenberger ◽  
Félix Cuozzo
Keyword(s):  
Recognition System ◽  
Future Trends ◽  
Biometric Authentication ◽  
Cultural Aspects ◽  
Site Monitoring ◽  
Face Recognition System ◽  
Biometric Systems ◽  
Different Characteristics ◽  
General Architecture ◽  
Biometric Information

For ages, humans recognized themselves according to different characteristics (appearance, behavior…). Biometrics is a well known technique to identify an individual or verify its identity; as, for example, fingerprints have been used for more than 100 years to identify one criminal. With computers, this analysis can be realized very quickly and with a higher reliability. Biometrics has many applications: site monitoring (Bird, Masoud, Papanikolopoulos, & Isaacs, 2005), e-commerce (Jain & Pankanti, 2006)… The main benefits of biometrics are to provide better security and to facilitate the authentication process for a user. For example, it can be easy to obtain the password of a user, but it is more difficult to look like the user if a face recognition system is used for the user verification. Biometrics can also provide many advantages for particular applications. Indeed, biometric authentication can be realized in a contactless way that could be important for cultural aspects or reasons of hygiene. For all these motivations, biometrics is an emergent technology that could be more present in our daily life. The goal of this chapter is to make an overview of biometrics. We focus on the authentication process, whose goal is to verify the identity of an individual. Ideal biometric information must have multiple properties: • Universality: all individuals must be characterized by this information; • Uniqueness: this information must as dissimilar as possible for two different persons; • Permanency: it should be present during the whole life of an individual; • Collectability: it can be measured (in a easy way); • Acceptability: it concerns the possibility of a real use by users. The plan of this chapter is given below. The background part presents the different biometric modalities studied in the research labs and used in real conditions. The main thrust of this chapter is an analysis of the benefits and limitations of biometric authentication. We present also the general architecture of a biometric system. Future trends stress the different research topics that should be treated to improve the biometric authentication. It concerns the combination of different biometric systems and their performance evaluation. We conclude by resuming the main aspects of this domain.

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