Convolution approach for feature detection in topological skeletons obtained from vascular patterns

IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIBIM 2011: 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management

Volumn , Issue , 2011, Pages 163-167

  Aastrup Olsen, Martin ^a   Hartung, Daniel ^b   Busch, Christoph ^a,b   Larsen, Rasmus ^c  

^a Center for Advanced Security Research   (Germany)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^c TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Biometrics; Feature extraction; Image processing

Indexed keywords

ARBITRARY STRUCTURES; BIOMETRIC SYSTEMS; BRANCH POINTS; CONNECTED STRUCTURES; CONVOLUTION APPROACH; CROSSING NUMBER; FAST METHODS; FEATURE DETECTION; FEATURE POINT; FILTER RESPONSE; HIGH-LEVEL FEATURES; RECOGNITION SYSTEMS; SEGMENTED IMAGES; VASCULAR PATTERNS;

ARTIFICIAL INTELLIGENCE; BIOMETRICS; COMPUTER VISION; CONVOLUTION; EDGE DETECTION; FEATURE EXTRACTION; IMAGING SYSTEMS; TOPOLOGY;

MUSCULOSKELETAL SYSTEM;

EID: 79961174104     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBIM.2011.5949223     Document Type: Conference Paper

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