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Canonical Correlation Analysis (CCA) is a standard tool in statistical analysis that measures the linear relationship between two data sets. In this paper, we present a multibiometric approach which combines palmprint feature and finger geometry feature based on Canonical Correlation Analysis. First, we use linear discriminant analysis (LDA) to build the palmprint feature. Second, the geometry feature...
In this paper, we present a multibiometric approach which combines palmprint, fingerprint and finger geometry collected by a digital camera at decision fusion level. First, eight neighborhood border tracing algorithm is applied to locate fingertips and valley points, then the regions of palmprint and fingerprint as well as a finger contour are extracted from a whole-hand image. Second, the linear...
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