Communication emitter individual identification via 3D-Hilbert energy spectrum-based multiscale segmentation features

2018 ◽  
Vol 32 (1) ◽  
pp. e3833 ◽  
Author(s):  
Jie Han ◽  
Tao Zhang ◽  
Zhaoyang Qiu ◽  
Xiaoyu Zheng
Keyword(s):  
Energy Spectrum ◽  
Individual Identification ◽  
Multiscale Segmentation

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    

The electronic energy spectrum of zero-gap semiconductors

1976 ◽  
Vol 120 (11) ◽  
pp. 337 ◽  
Author(s):  
B.L. Gel'mont ◽  
V.I. Ivanov-Omskii ◽  
I.M. Tsidil'kovskii
Keyword(s):  
Energy Spectrum ◽  
Electronic Energy ◽  
Electronic Energy Spectrum

Acquisition and Evaluation of Gamma-ray Energy Spectrum with CsPbBr3

2019 ◽  
Author(s):  
Lei R. Cao ◽  
Lei Pan ◽  
Yuanxiang Feng ◽  
Praneeth Kandlakunta ◽  
Jinsong Huang
Keyword(s):  
Energy Spectrum ◽  
Gamma Ray

Individual identification and paternity testing of bulls using microsatellite

2009 ◽  
Vol 31 (3) ◽  
pp. 285-289 ◽  
Author(s):  
Jing WANG ◽  
Chou-Sheng LIU ◽  
Li-Ping ZHANG ◽  
Zhi-Gang WANG ◽  
Fu-Qing YU ◽  
...  
Keyword(s):  
Paternity Testing ◽  
Individual Identification

Energy Spectrum of Acoustic Emission Signals in Coupled Continuous Media

2019 ◽  
Vol 11 (3) ◽  
pp. 03028-1-03028-7 ◽  
Author(s):  
V. V. Marasanov ◽  
◽  
A. V. Sharko ◽  
A. A. Sharko ◽  
◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Energy Spectrum ◽  
Continuous Media

Peculiarities of Stark-phonon Resonance in Two-dimensional Superlattices with Non-additive Energy Spectrum

2016 ◽  
Vol 8 (1) ◽  
pp. 01019-1-01019-3
Author(s):  
D. V. Zav’yalov ◽  
◽  
S. V. Kruchkov ◽  
E. S. Ionkina ◽  
◽  
...  
Keyword(s):  
Energy Spectrum ◽  
Two Dimensional ◽  
Additive Energy
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