scholarly journals Identification System using Mobile Device Enabled NFC

2014 ◽  
Vol 107 (7) ◽  
pp. 37-39
Author(s):  
Karima Maazouz ◽  
Habib Benlahmer ◽  
Naceur Achtaich
2013 ◽  
Vol 284-287 ◽  
pp. 3418-3422
Author(s):  
Xin Mao Huang ◽  
Ke Yi Kuo ◽  
Yi Chiou

With the popularity and prevalence of mobile devices, they have become indispensable daily necessities. The rapid development of software and hardware technology has made mobile devices increasingly powerful in function. Mobile devices have been inextricably linked with people’s lives. Moreover, as a result of the prevalence of social networking sites, the topic of people’s social relationship mining has attracted the attention of numerous researchers. This paper presented a mobile device-assisted determining social relationship system, which mainly uses the mobile device to collect geographic information about the surrounding people to determine whether they are within the angle of view of the mobile device's camera. The information is stored in the pictures as the basis for people relationship mining. The proposed approach has automatic and rapid processing capabilities for large amounts of photo data.


2012 ◽  
Author(s):  
Judith E. Gold ◽  
Feroze B. Mohamed ◽  
Sayed Ali ◽  
Mary F. Barbe
Keyword(s):  

2020 ◽  
pp. 65-72
Author(s):  
V. V. Savchenko ◽  
A. V. Savchenko

This paper is devoted to the presence of distortions in a speech signal transmitted over a communication channel to a biometric system during voice-based remote identification. We propose to preliminary correct the frequency spectrum of the received signal based on the pre-distortion principle. Taking into account a priori uncertainty, a new information indicator of speech signal distortions and a method for measuring it in conditions of small samples of observations are proposed. An example of fast practical implementation of the method based on a parametric spectral analysis algorithm is considered. Experimental results of our approach are provided for three different versions of communication channel. It is shown that the usage of the proposed method makes it possible to transform the initially distorted speech signal into compliance on the registered voice template by using acceptable information discrimination criterion. It is demonstrated that our approach may be used in existing biometric systems and technologies of speaker identification.


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