Finger Vein Authentication Technology and Financial Applications

2008 ◽  
pp. 89-105 ◽  
Author(s):  
Mitsutoshi Himaga ◽  
Katsuhiro Kou
Keyword(s):  
Financial Applications ◽  
Finger Vein ◽  
Authentication Technology

Analysis of finger vein variety in patients with various diseases using vein authentication technology

2019 ◽  
Vol 12 (4) ◽  
pp. e201800354
Author(s):  
Yuichiro Maeda ◽  
Toshio Hasegawa ◽  
Etsuko Komiyama ◽  
Yusuke Hirasawa ◽  
Hitoshi Tsuchihashi ◽  
...  
Keyword(s):  
Finger Vein ◽  
Authentication Technology

The IBM-PC in electron microscopy

1996 ◽  
Vol 54 ◽  
pp. 612-613
Author(s):  
James F. Mancuso
Keyword(s):  
Head Start ◽  
Image Acquisition ◽  
Cost Effective ◽  
Financial Applications ◽  
Number Of Factors ◽  
Instrument Control ◽  
The Cost ◽  
Training And Support ◽  
Control Image ◽  
Ibm Pc

IBM PC compatible computers are widely used in microscopy for applications ranging from control to image acquisition and analysis. The choice of IBM-PC based systems over competing computer platforms can be based on technical merit alone or on a number of factors relating to economics, availability of peripherals, management dictum, or simple personal preference.IBM-PC got a strong “head start” by first dominating clerical, document processing and financial applications. The use of these computers spilled into the laboratory where the DOS based IBM-PC replaced mini-computers. Compared to minicomputer, the PC provided a more for cost-effective platform for applications in numerical analysis, engineering and design, instrument control, image acquisition and image processing. In addition, the sitewide use of a common PC platform could reduce the cost of training and support services relative to cases where many different computer platforms were used. This could be especially true for the microscopists who must use computers in both the laboratory and the office.

The effects of use on acceptance and trust in voice authentication technology

2006 ◽  
Author(s):  
Carl W. Turner ◽  
Jennifer A. Safar ◽  
Karthik Ramaswamy
Keyword(s):  
Authentication Technology

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    

Two-factor Authentication technology based on Key-Stroke

2020 ◽  
Vol 20 (3) ◽  
pp. 29-37
Author(s):  
Jun-Yeon An ◽  
◽  
Gwang-Feel Ko ◽  
Tae-jin Lee
Keyword(s):  
Authentication Technology
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