An Automated Person Authentication System with Photo to Sketch Matching Technique

2020 ◽  
pp. 655-662
Author(s):  
P. Resmi ◽  
R. Reshika ◽  
N. Sri Madhava Raja ◽  
S. Arunmozhi ◽  
Vaddi Seshagiri Rao
Keyword(s):  
Matching Technique ◽  
Authentication System

Use of an Adaptive Neuron Network in the Voice Authentication System

2006 ◽  
Vol 65 (5) ◽  
pp. 427-439
Author(s):  
O. N. Katkov ◽  
V. A. Pimenov ◽  
A. P. Ryzhkov
Keyword(s):  
Neuron Network ◽  
Authentication System ◽  
Adaptive Neuron ◽  
The Voice

FIDDLE. Simultaneous Indexing and Structure Solution from Powder Diffraction Data using a Genetic Algorithm and Correlation Functions

2019 ◽  
Author(s):  
Carmen Guguta ◽  
Jan M.M. Smits ◽  
Rene de Gelder
Keyword(s):  
Genetic Algorithm ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Correlation Functions ◽  
Cross Correlation ◽  
Simultaneous Optimization ◽  
Powder Diffraction Data ◽  
Structure Solution ◽  
Matching Technique

A method for the determination of crystal structures from powder diffraction data is presented that circumvents the difficulties associated with separate indexing. For the simultaneous optimization of the parameters that describe a crystal structure a genetic algorithm is used together with a pattern matching technique based on auto and cross correlation functions.<br>

Blacklisted Password Authentication System

2019 ◽  
Vol 7 (6) ◽  
pp. 633-635
Author(s):  
Payal . ◽  
Suman Sangwan ◽  
Arun Malik
Keyword(s):  
Password Authentication ◽  
Authentication System

Review on Graphical Password Authentication System

2015 ◽  
Vol 4 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Syeatha Merlin Thampy ◽  
Alphonsa Johny
Keyword(s):  
Password Authentication ◽  
Graphical Password ◽  
Authentication System

COMPUTER-BASED LOCAL AREA AUTHENTICATION SYSTEM

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
OMOROGIUWA O. S. ◽  
AZIKEN G. O. ◽  
◽  
Keyword(s):  
Local Area ◽  
Computer Based ◽  
Authentication System

Validation of Graphoanalysis by “Global” or “Holistic” Method

1977 ◽  
Vol 44 (2) ◽  
pp. 403-410 ◽  
Author(s):  
James C. Crumbaugh ◽  
Emilie Stockholm
Keyword(s):  
Personality Assessment ◽  
Statistical Study ◽  
Handwriting Analysis ◽  
Expressive Movement ◽  
Projective Techniques ◽  
Matching Technique ◽  
Total Data ◽  
Holistic Method

Graphoanalysis is the most systematically developed and best researched of all methods of handwriting analysis (generically called graphology). This is a projective expressive movement that is neither better nor more poorly validated than most projective techniques as a means of personality assessment, which is inadequate because their subjectivity makes statistical study difficult. With all projective techniques “sign” or trait validation has been minimal, and the best validation has come from “global” or “holistic” methods. The present study presents a paradigm for the latter type of approach to handwriting analysis, using a matching technique with probabilities of 1/5, wherein five subjects were matched by people who knew them to one of five blind Graphoanalyses of the subjects' writing. This design is herein replicated five times, with total data significantly different from chance expectation ( p < .001), supporting the hypothesis that it is possible to evaluate personality through analysis of handwriting.

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