Modeling and predicting face recognition system performance based on analysis of similarity scores

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 29, Issue 4, 2007, Pages 665-670

  Wang, Peng ^a   Ji, Qiang ^b   Wayman Jr , James L ^c  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^c SAN JOSE STATE UNIVERSITY   (United States)

Author keywords

Face recognition; Image quality; Performance modeling; Performance prediction; Similarity scores

Indexed keywords

FACE RECOGNITION; FEATURE EXTRACTION; IMAGE QUALITY; ONLINE SYSTEMS; PATTERN MATCHING; QUERY PROCESSING;

GALLERY IMAGES; PERFECT RECOGNITION SIMILARITY SCORES; SIMILARITY SCORES;

BIOMETRICS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

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

EID: 33947508316     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.1015     Document Type: Article

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