Capturing the vital vascular fingerprint with optical coherence tomography

Applied Optics

Volumn 52, Issue 22, 2013, Pages 5473-5477

  Liu, Gangjun ^a,b   Chen, Zhongping ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b University of California at Irvine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

OPTICAL TOMOGRAPHY; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; TOMOGRAPHY;

BLOOD FLOW; DOPPLER OPTICAL COHERENCE TOMOGRAPHY; FINGERPRINT RECOGNITION SYSTEMS; FINGERPRINT SYSTEMS; PERSONAL IDENTIFICATION;

PALMPRINT RECOGNITION;

ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; BLOOD FLOW VELOCITY; CLASSIFICATION; DERMATOGLYPHICS; EQUIPMENT; EQUIPMENT DESIGN; EQUIPMENT FAILURE; FINGER; FLOW KINETICS; HUMAN; METHODOLOGY; OPTICAL COHERENCE TOMOGRAPHY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VASCULARIZATION;

BIOMETRY; BLOOD FLOW VELOCITY; DERMATOGLYPHICS; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FINGERS; HUMANS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RHEOLOGY; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84881360880     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.52.005473     Document Type: Article

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