Future trends in iris recognition: an industry perspective

2017 ◽  
pp. 439-463
Keyword(s):  
Iris Recognition ◽  
Future Trends

On the origin of the rising incidence of esophageal adenocarcinoma and prediction of future trends

2001 ◽  
Vol 120 (5) ◽  
pp. A30-A30
Author(s):  
J HELM ◽  
J BARTHEL ◽  
D COPPOLA ◽  
P LAZARUS ◽  
S LUTHER ◽  
...  
Keyword(s):  
Esophageal Adenocarcinoma ◽  
Future Trends ◽  
Rising Incidence

Families in Society: Current Research and Future Trends

1996 ◽  
Vol 41 (5) ◽  
pp. 466-467
Author(s):  
Lori A. Ingram
Keyword(s):  
Future Trends

Future trends in health monitoring of materials

2001 ◽  
Vol 89 ◽  
pp. 31-33
Author(s):  
L. Flandin ◽  
Y. Bréchet ◽  
J.Y. Cavaillé
Keyword(s):  
Health Monitoring ◽  
Future Trends

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    

Comprehensive Study of Blockchain Technology - Architecture, Consensus and Future Trends

2020 ◽  
pp. 319-325
Author(s):  
Shreya Joshi ◽  
Ms Bhavyaa ◽  
Suhani Gupta ◽  
Lalita Luthra
Keyword(s):  
Internet Of Things ◽  
Product Management ◽  
Future Trends ◽  
Deep Dive ◽  
Record Keeping ◽  
Blockchain Technology ◽  
Healthcare Product ◽  
Core Technology ◽  
Technical Challenges ◽  
Comprehensive Study

Blockchain is considered to be a disruptive core technology. Although many researchers have realized the importance of blockchain, but the research of it is still emerging. It is the record-keeping technology behind bitcoin and is one of the hottest and fastest growing skills in the IT sector today. It serves as an immutable ledger which allows transactions to take place in a decentralized man Blockchain-based applications are rising up, covering numerous fields including finance, healthcare, product management, Internet of Things (IoT), and many more. However, there are still some challenges of blockchain technology such as scalability and security problems which need to be overcome. This paper comprises of a comprehensive study of Blockchain technology. We have included here a deep dive into how blockchains work, its architecture, consensus and various applications. Furthermore, technical challenges are briefly listed.

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