person recognition using fingerprints and top-view finger images

Clicks: 127
ID: 134238
2010
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Abstract
Our multimodal biometric system combines fingerprinting with a top-view finger image captured by a CCD camera without user intervention. The greyscale image is preprocessed to enhance its edges, skin furrows, and the nail shape before being manipulated by a bank of oriented filters. A square tessellation is applied to the filtered image to create a feature map, called a NailCode, which is employed in Euclidean distance computations. The NailCode reduces system errors by 17.68% in the verification mode, and by 6.82% in the identification mode.
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chaikan2010songklanakarinperson Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Panyayot Chaikan;Montri Karnjanadecha
Journal ferroelectrics
Year 2010
DOI
DOI not found
URL
http://www.rdoapp.psu.ac.th/html/sjst/journal/32-1/0125-3395-32-1-71-79.pdf
Keywords
multimodal biometrics fingerprints image processingtechnologytechnology (general)sciencescience (general)

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