A hybrid color and frequency features method for face recognition

IEEE Transactions on Image Processing

Volumn 17, Issue 10, 2008, Pages 1975-1980

  Liu, Zhiming ^a   Liu, Chengjun ^a  

^a University Heights   (United States)

Author keywords

Enhanced fisher model (EFM); Face recognition grand challenge (FRGC); The RIQ color space

Indexed keywords

COLOR; COLOR IMAGE PROCESSING; EXPERIMENTS; FEATURE EXTRACTION; FETAL MONITORING; IMAGE ENHANCEMENT; OPTICAL PROPERTIES;

CHROMATIC COMPONENTS; COLOR SPACES; COMPLEMENTARY CHARACTERISTICS; COMPLEMENTARY FEATURES; ENHANCED FISHER MODEL; ENHANCED FISHER MODEL (EFM); FACE RECOGNITION GRAND CHALLENGE; FACE RECOGNITION GRAND CHALLENGE (FRGC); FACE RECOGNITION PERFORMANCE; FEATURE-LEVEL; FEATURE-LEVEL FUSION; FREQUENCY DOMAINS; FREQUENCY FEATURES; IMAGINARY PARTS; REAL PART; RGB COLOR SPACE; SIMILARITY SCORES; THE RIQ COLOR SPACE;

FACE RECOGNITION;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COLOR; COLORIMETRY; COMPUTER ASSISTED DIAGNOSIS; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; LETTER; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; COLOR; COLORIMETRY; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 52649094942     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2008.2002837     Document Type: Article

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