Curved-region-based ridge frequency estimation and curved gabor filters for fingerprint image enhancement

IEEE Transactions on Image Processing

Volumn 21, Issue 4, 2012, Pages 2220-2227

  Gottschlich, Carsten ^a  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

Biometrics; curvature; curved Gabor filters (GFs); curved regions; fingerprint recognition; FVC2004; image enhancement; orientation field (OF)estimation; ridge frequency (RF) estimation; verification tests

Indexed keywords

CURVATURE; CURVED REGIONS; FINGERPRINT RECOGNITION; FVC2004; RIDGE FREQUENCY; VERIFICATION TESTS;

BIOMETRICS; ESTIMATION; GABOR FILTERS; IMAGE ENHANCEMENT;

FREQUENCY ESTIMATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DERMATOGLYPHICS; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

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

EID: 84859072809     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2170696     Document Type: Article

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