Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Aalgorithms for facial recognition PCA (Principal component analysis) encounter a dramatic performance decline when analyzing photos taken from various angles. As part of this research, a 3-D model was utilized for the sake of improving abovementioned performance. This model enables us to convert an image of somebody’s face, which was taken from a specific angle to another face. Model was tested using biometric database created on Belgrade University. Picture rotation according to model was performed before comparing with the specimen pictures from the database. Results of this study have shown accuracy in regards to biometric verification, where identification percentage has been drastically improved.
Jovan Toroman. 2018. \u201cUtilization of 3-d Models for Enhancing Facial Recognition over Various Angles\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 18 (GJCST Volume 18 Issue D3): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 101
Country: Serbia
Subject: Global Journal of Computer Science and Technology - D: Neural & AI
Authors: Jovan Toroman (PhD/Dr. count: 0)
View Count (all-time): 249
Total Views (Real + Logic): 5375
Total Downloads (simulated): 1593
Publish Date: 2018 12, Thu
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Neural Networks and Rules-based Systems used to Find Rational and
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Aalgorithms for facial recognition PCA (Principal component analysis) encounter a dramatic performance decline when analyzing photos taken from various angles. As part of this research, a 3-D model was utilized for the sake of improving abovementioned performance. This model enables us to convert an image of somebody’s face, which was taken from a specific angle to another face. Model was tested using biometric database created on Belgrade University. Picture rotation according to model was performed before comparing with the specimen pictures from the database. Results of this study have shown accuracy in regards to biometric verification, where identification percentage has been drastically improved.
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