A hybrid evolutionary algorithm for feature and ensemble selection in image tampering detection

International Journal of Electronic Security and Digital Forensics

Volumn 7, Issue 1, 2015, Pages 76-104

  Goh, Jonathan ^a   Thing, Vrizlynn L L ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Evolutionary algorithms; Image forgery; Multiple classifiers systems; Optimal feature selection

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIGITAL FORENSICS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; STATISTICAL TESTS;

AUTHENTICITY VERIFICATION; CLASSIFICATION MECHANISM; CLASSIFICATION PERFORMANCE; FEATURE EVALUATION AND SELECTION; HYBRID EVOLUTIONARY ALGORITHM; IMAGE FORGERY; MULTIPLE CLASSIFIERS SYSTEMS; OPTIMAL FEATURE SELECTIONS;

FEATURE EXTRACTION;

EID: 84925004480     PISSN: 1751911X     EISSN: 17519128     Source Type: Journal    
DOI: 10.1504/IJESDF.2015.067996     Document Type: Article

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