Comparative study of face recognition techniques that use joint transform correlation and principal component analysis

Applied Optics

Volumn 44, Issue 5, 2005, Pages 688-692

  Alsamman, A ^a   Alam, Mohammad S ^b  

^a UNO College of Engineering   (United States)

^b University of South Alabama   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; OPTICAL CORRELATION; OPTOELECTRONIC DEVICES; PRINCIPAL COMPONENT ANALYSIS;

EIGENFACES; FACIAL IMAGES; JOINT TRANSFORM CORRELATION; KARHUNEN-LOEVE EXPANSION;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; EVALUATION; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; LIGHT; MATHEMATICAL COMPUTING; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; LIGHT; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS; USER-COMPUTER INTERFACE;

EID: 14844311204     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.44.000688     Document Type: Article

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