Half-iris feature extraction and recognition using a new class of biorthogonal triplet half-band filter bank and flexible k-out-of-n:A postclassifier

IEEE Transactions on Information Forensics and Security

Volumn 7, Issue 1 PART 2, 2012, Pages 230-240

  Rahulkar, Amol D ^a   Holambe, Raghunath S ^a  

^a SHRI GURU GOBIND SINGHJI INSTITUTE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

Feature extraction; filter bank; half band filters; iris recognition; k out of n:A classifier; regularity; triplet half band filter bank (THFB); wavelet transform

Indexed keywords

BIORTHOGONAL; COMPUTATIONALLY EFFICIENT; FALSE REJECTION; FEATURE EXTRACTION AND RECOGNITION; FREQUENCY-SELECTIVITY; HALF-BAND; HALF-BAND FILTER; IRIS FEATURE EXTRACTION; IRIS RECOGNITION; IRIS VERIFICATION; K-OUT-OF-N; LINEAR PHASE; PERFECT RECONSTRUCTION; POST CLASSIFICATION; POSTCLASSIFIER; REGULARITY; ROTATION INVARIANT; SEGMENTATION ERROR; SPECULAR REFLECTIONS; TIME-FREQUENCY LOCALIZATION;

BIOMETRICS; FILTER BANKS; IMAGE RECOGNITION; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

EID: 84855968315     PISSN: 15566013     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIFS.2011.2166069     Document Type: Article

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