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Volumn 1, Issue , 2009, Pages 182-186
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A novel principal component analysis neural network algorithm for fingerprint recognition in online examination system
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Author keywords
Fingerprint recognition; Neural network; Principal component analysis; Symmetric subspace
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Indexed keywords
BASIC PRINCIPLES;
BP NEURAL NETWORKS;
CONVERGENCE CONDITIONS;
FEATURE SELECTION;
FINGERPRINT RECOGNITION;
FINGERPRINT RECOGNITION ALGORITHM;
NEURAL NETWORK ALGORITHM;
ONLINE EXAMINATIONS;
PRE-PROCESSING STEP;
RECOGNITION RATES;
SUB-SPACE ALGORITHMS;
SUBSPACE MODELS;
ALGORITHMS;
BACKPROPAGATION ALGORITHMS;
COMPUTATIONAL COMPLEXITY;
CONVERGENCE OF NUMERICAL METHODS;
DATA PROCESSING;
FEATURE EXTRACTION;
NEURAL NETWORKS;
PRINCIPAL COMPONENT ANALYSIS;
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EID: 70649111311
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/APCIP.2009.53 Document Type: Conference Paper |
Times cited : (14)
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References (9)
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