Smart card with iris recognition for high security access environment

2011 ◽  
Author(s):  
Mohammed A. M. Abdullah ◽  
F. H. A. Al-Dulaimi ◽  
Waleed Al-Nuaimy ◽  
Ali Al-Ataby
Keyword(s):  
Smart Card ◽  
Iris Recognition ◽  
High Security

Internet-enabled Smart Card Agent Environment and Applications

2011 ◽  
pp. 246-260 ◽  
Author(s):  
Teoh Kok Poh ◽  
Sheng-Uei Guan
Keyword(s):  
Smart Card ◽  
User Authentication ◽  
Information Storage ◽  
The Internet ◽  
User Interactions ◽  
Intelligent Software ◽  
High Security ◽  
Intelligent Software Agents ◽  
Personalized Services ◽  
Viable Solution

The introduction of smart card technology offers an alternative for user authentication and storage medium for data that require both high security as well as location transparency. With a considerably large storage that can be protected from unauthorized access and tampering, and the ability to compute custom software routines including cryptographic algorithms, smart card represents a trusted medium for self-identification and secured information storage that we can carry around with us (Effing and Rankl, 1996). On the other hand, intelligent software agents represent a new software methodology that starts to gain wide acceptance. While they are possibly the best candidates as an end user’s personal assistant in the computer world, they usually are not designed with high security and location transparency in mind. This has greatly limited their ability to function as ‘personal representatives’ in the world of the Internet. The proposed smart card agent environment is an effort to bridge these two technologies to produce a viable solution for personalized Internet-based services and solutions. Introduction of software agent technology into traditional smart card applications will bring in new intelligence to make it smarter. The level of security and location transparency in the smart card technology will greatly enhance the usability of agents in the Internet world. With the combination of these two technologies, many Internet-based applications can provide a personalized services with minimum user interactions. This will promote the utilization of Internet-based services and solutions.

FPGA Implementation of MC-CDMA for High Security Applications

2013 ◽  
Vol 5 (1) ◽  
pp. 36-41
Author(s):  
R. Ganesh ◽  
◽  
Ch. Sandeep Reddy ◽  
Keyword(s):  
Fpga Implementation ◽  
Security Applications ◽  
High Security

IRIS AND FINGER VEIN MULTI MODEL RECOGNITION SYSTEM BASED ON SIFT FEATURES

2018 ◽  
Vol 1 (2) ◽  
pp. 34-44
Author(s):  
Faris E Mohammed ◽  
Dr. Eman M ALdaidamony ◽  
Prof. A. M Raid
Keyword(s):  
Iris Recognition ◽  
Recognition Performance ◽  
Recognition System ◽  
Individual Identification ◽  
Work Place ◽  
Identification Process ◽  
Finger Vein ◽  
Noise Point ◽  
Vein Recognition ◽  
A New Technique

Individual identification process is a very significant process that resides a large portion of day by day usages. Identification process is appropriate in work place, private zones, banks …etc. Individuals are rich subject having many characteristics that can be used for recognition purpose such as finger vein, iris, face …etc. Finger vein and iris key-points are considered as one of the most talented biometric authentication techniques for its security and convenience. SIFT is new and talented technique for pattern recognition. However, some shortages exist in many related techniques, such as difficulty of feature loss, feature key extraction, and noise point introduction. In this manuscript a new technique named SIFT-based iris and SIFT-based finger vein identification with normalization and enhancement is proposed for achieving better performance. In evaluation with other SIFT-based iris or SIFT-based finger vein recognition algorithms, the suggested technique can overcome the difficulties of tremendous key-point extraction and exclude the noise points without feature loss. Experimental results demonstrate that the normalization and improvement steps are critical for SIFT-based recognition for iris and finger vein , and the proposed technique can accomplish satisfactory recognition performance. Keywords: SIFT, Iris Recognition, Finger Vein identification and Biometric Systems.   © 2018 JASET, International Scholars and Researchers Association    

Survey on Segmentation to Iris Recognition System

2012 ◽  
Vol 3 (4) ◽  
pp. 514-515
Author(s):  
Meenakshi BK Meenakshi BK ◽  
◽  
Prasad M R Prasad M R
Keyword(s):  
Iris Recognition ◽  
Recognition System
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