A hierarchical k-means clustering based fingerprint quality classification

Neurocomputing

Volumn 85, Issue , 2012, Pages 62-67

  Munir, Muhammad Umer ^a   Javed, Muhammad Younus ^a   Khan, Shoab Ahmad ^a  

^a NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

Biometrics; Fingerprint matching; K means clustering; Quality classification

Indexed keywords

FALSE ACCEPT RATE; FALSE REJECT RATE; FINGERPRINT IMAGES; FINGERPRINT MATCHER; FINGERPRINT MATCHING; FREQUENCY FEATURES; K-MEANS CLUSTERING; K-MEANS CLUSTERING ALGORITHM; K-MEANS CLUSTERING TECHNIQUES; NOVEL TECHNIQUES; OBJECTIVE METHODS; QUALITY CLASSIFICATION; QUALITY INFORMATION;

COMPUTER APPLICATIONS; NEURAL NETWORKS;

BIOMETRICS;

ALGORITHM; ARTICLE; CLASSIFICATION; CLASSIFIER; CLUSTER ANALYSIS; FINGER DERMATOGLYPHICS; HIERARCHICAL K MEANS CLUSTERING; IMAGE ANALYSIS; IMAGE QUALITY; PRIORITY JOURNAL;

EID: 84858159187     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.01.002     Document Type: Article

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